Elaboration Likelihood Model Jobs in Usa

Job Description

This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing the Large Language Models (LLMs). The successful candidate will work on pioneering research projects that push the boundaries of what AI can achieve, particularly in the domain of multimodal learning. You will have the opportunity to develop innovative algorithms and models that integrate multiple data modalities, collaborate with industry partners, and contribute to high-impact publications.

Job Responsibilities

1. Research and Innovation:Conduct cutting-edge research in AI, machine learning, and multimodal learning, with a focus on developing Large Language Models (LLMs) that process and generate multimodal data (text, audio, video, images).Explore and implement new algorithms and methodologies to enhance the performance of LLMs in various real-world applications.

2. Model Development and Optimization:Design, build, and fine-tune LLMs and other AI models to address complex challenges in multimodal learning.Develop scalable and efficient architectures for deploying models in real-world environments.

3. Collaboration and Industry Partnerships:Collaborate closely with industry partners to align research with practical applications, ensuring that developed models and solutions address real-world needs.Participate in cross-functional teams to apply research findings to industry-related projects.

4. Publishing and Dissemination:Prepare and publish high-quality research papers in top-tier journals and present findings at leading academic conferences.Contribute to technical reports and documentation for both academic and industry audiences.

5. Mentorship and Lab Contributions:Mentor graduate and undergraduate students in the lab, guiding them in research methods, experimental design, and technical skills. Contribute to the overall success of the lab by collaborating on ongoing projects and assisting with grant proposals and reports.

Minimum Qualification

Ph.D. from an accredited institution in Computer Science, Electrical and Computer Engineering, or a related field with a focus on AI, NLP (natural language processing), machine learning, or data science.

Preferred Qualifications

Expertise in Deep Learning and LLMs(Large Language Models): Knowledge in building applications and fine-tuning models like Llama 3, Gemma, Mistral AI, and others.
Multimodal Learning Experience: Demonstrated experience in integrating and processing multiple data modalities (text, audio, video, images) using AI/ML techniques.
Programming Proficiency: Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, and associated libraries.
Research Excellence: Proven track record of publications in high-impact journals and conferences in relevant fields.
Collaborative Mindset: Ability to work effectively in a multidisciplinary team, with strong communication and leadership skills.

Department

Work Schedule

Type of Appointment

Expected Salary

Equal Employment Opportunity Statement:

The University of Central Florida is an Equal Opportunity/Affirmative Action Employer including Disabled/Vets. Click on UCF's Equal Opportunity Statement to view the President's Statement.

The UCF affirmative action plans for qualified individuals with disabilities and protected Veterans are available for inspection in the Office of Institutional Equity, Monday through Friday, from 9:00 a.m. to 5:00 p.m., upon request.

As a Florida public university, UCF makes all application materials and selection procedures available to the public upon request.

The University of Central Florida is proud to be a smoke-free campus and an E-Verify employer.

The Opportunity

The Institute of Simulation and Training (IST) at the University of Central Florida (UCF) is seeking applicants for a full-time, 12-month, non-tenure earning, digital asset and engineer-oriented, research position.This is a full-time Contract and Grants (C&G)-based faculty position to support ongoing federally sponsored research in a long-standing and agile R&D lab. For information about the Institute for Simulation and Training and the Orlando area, see .

We are searching for an Assistant In Digital Asset Research and Production Engineer with expertise in computer visualization, 3D modeling, and immersive technologies to support the design, development, and implementation of next-generation visual simulations and intelligent training systems. The successful candidate will join a multidisciplinary team conducting applied research in simulation-based training, modeling, and opportunity-based training systems.

This position requires an experienced researcher who will work both independently and as a team member to design, develop, modify, test, document, and maintain simulation software products.

Key Responsibilities

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• Design, develop, and implement 3D environments, frameworks, and prototypes for high-fidelity visual simulations and applications.

  
  

• Apply 3D models, advanced character mesh techniques, and physics-based simulation methods to enhance realism and interactivity in diverse domain systems and applications.

  
  

• Work with interdisciplinary teams including engineers, cognitive scientists, and domain experts to define research objectives, design experiments, and analyze results.

  
  

• Create prototypes and capabilities demonstrators to showcase IST's expertise aligned with trends and opportunities.

  
  

• Design and execute hands-on demonstrations and exhibits at strategic events.

  
  

• Perform data collection in the form of LiDAR, photogrammetry, and other advanced techniques to evolve advanced terrestrial-based synthetic environments.

  
  

Minimum Qualifications:

A master's degree from an accredited institution in a field related to modeling and simulation and two years of related professional experience or a bachelor's degree from an accredited institution in a field related to modeling and simulation and five years of related professional experience.

Significant experience or education required in at least three of the following areas:

• 
  

• 3D modeling tools such as Adobe Substance, Creator, Blender, or 3D Studio Max

  
  

• AutoDesk software systems

  
  

• Geospatial algorithms

  
  

• 3D game engine modeling formats

  
  

• Character and model rigging using modern game engine approaches (Unity, Unreal)

  
  

• Modern terrain generation software

  
  

Preferred Qualifications:

Experience or education is preferred in any of the following areas:

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• OpenFlight file format and visual database correlation.

  
  

• NIMA data processing

  
  

• Cartography

  
  

• 3D Model/Character creation for modern game engines.

  
  

• Digital twin creation

  
  

• Data acquisition through ground-based LiDAR-based systems such as Leica or Faro systems

  
  

• Intrinsic game engine API scripting capabilities such as C# and/or Python

  
  

• Familiarity with understanding of producing correlated geospecific terrain

  
  

Additional Application Materials Required:

UCF requires all applications and supporting documents be submitted electronically through the Human Resources employment opportunities website, jobs/. In addition to the online application, interested candidates should upload the following:

• 
  

• A curriculum vitae.

  
  

• A letter of interest describing qualifications for the position, such as research agenda and teaching experience/interest.

  
  

NOTE: Please have all documents ready when applying so they can be simultaneously uploaded. Once the online submission process is finalized, the system does not allow applicants to submit additional documents later.

The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations) documenting the conferral of their qualifying academic credentials.

Questions regarding this search should be directed to: Dean Reed at .

Special Instructions to the Applicants:

Sponsorship for employment-based visas will only be considered under exceptional circumstances and is not guaranteed. Preference will be given to candidates who are currently authorized to work for any employer in the United States.

Position requires U.S citizenship for a University-sponsored application for a security clearance. This position is funded by contract and grant sources and is contingent upon available funding.

Job Close Date:

Open until filled.

Are you ready to unleash YOUR potential?

As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation, you'll play an integral role at one of the most impactful universities in the country. You'll be met with opportunities to connect and collaborate with talented faculty, staff, and students across 13 colleges and multiple campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow, you'll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you'll have countless rewarding experiences that go well beyond a paycheck.

Working at UCF has its perks!UCF offers:

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• Benefit packages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program.

  
  

• Paid time off, including annual (12-month faculty) and sick time off and paid holidays.

  
  

• Retirement savings options.

  
  

• Employee discounts, including tickets to many Orlando attractions.

  
  

• Education assistance.

  
  

• Flexible work environment.

  
  

• And more...For more benefits information, view the UCF Employee Benefits Guideclick here.

  
  

Unless explicitly stated on the job posting, it is UCF's expectation that an employee of UCF will reside in Florida as of the date the employment begins.

Additional Requirements related to Research Positions:

Pursuant to Florida State Statute 1010.35, prior to offering employment to certain individuals in research-related positions, UCF is required to conduct additional screening. Applicants subject to additional screening include any citizen of a foreign country who is not a permanent resident of the U.S., or who is a citizen or permanent resident but is affiliated with or has had at least 1 year of education, employment, or training in China, Cuba, Iran, Russia, North Korea, Syria, or Venezuela.

The additional screening requirements only apply to research-related positions, including, but not limited to faculty, graduate positions, individuals compensated by research grants or contract funds, post-doctoral positions, undergraduate positions, visiting assistant professors, and visiting research associates.

Department

Work Schedule

Type of Appointment

Expected Salary

As a Florida public university, the University of Central Florida makes all application materials and selection procedures available to the public upon request.

UCF is proud to be a smoke-free campus and an E-Verify employer.

If an accommodation due to a disability is needed to apply for this position, please call or email .

For general application or posting questions, please email .

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

The Principal AI Security Engineer is a senior technical leader on the AI Security team, responsible for designing, building, and operating security controls for generative AI and Machine Learning (ML) systems across their full lifecycle: data, training, deployment, and runtime.

This role is deeply hands-on: you will work directly with data science, MLOps, platform, devops and application teams to secure LLMs, RAG systems, AI agents, and AI-enabled products. You will also lead the intake and review process for AI use cases, helping the organization adopt AI safely and at scale in a highly regulated environment.

The ideal candidate combines:

* Strong security engineering and cloud architecture experience

* Deep, current familiarity with modern AI/LLM tooling and practices

* Familiar and can cover basic coding within the AI tooling space (python, others)

* The ability to communicate clearly with senior leadership and influence enterprise-wide strategy

Essential Duties and Responsibilities

Secure AI / ML platforms and workloads

* Lead security architecture and threat modeling for AI/ML systems, including LLMs, RAG pipelines, agents, and AI-powered applications.

* Design and implement security controls as code (services, libraries, infrastructure-as-code, policy-as-code) for AI/ML platforms and workloads.

* Lead and help setup the basic infrastructure needed to safely rollout AI - MCPs, LLMs, pipelines, Test harness for AI (ie: harmbench), intake automation.

* Partner with data science and MLOps teams to harden:

• Data ingestion and labeling
• Training and fine-tuning pipelines
• Model registries and deployment workflows
• Inference APIs, agents, and integrations

* Define and champion secure reference architectures and patterns for common AI use cases and focus on composable architecture.

AI use case intake & governance

* Design, implement, and continuously improve the intake, triage, and review process for AI/ML and generative AI use cases across the organization.

* Build and automate self-service workflows (e.g., request forms, risk questionnaires, routing, approvals) that balance speed of delivery with security, privacy, and compliance with a focus on risk scoring and scorecards.

* Define risk-based criteria for AI use case approval, including data sensitivity, model and vendor selection, integration patterns, and control requirements; this will involve in re-mapping the complete end to end lifecycle.

* Review proposed AI solutions from concept through deployment, providing clear, actionable guidance to product and engineering teams.

* Maintain visibility into the AI use case portfolio and risk posture, and provide regular reporting to leadership and governance bodies.

Monitoring, detection & assurance

* Establish and maintain monitoring and detection for AI-specific threats, such as:

• Prompt injection and jailbreak attempts
• Data exfiltration and sensitive data exposure
• Misuse or abuse of AI tools and agents
• Anomalous model or pipeline behavior

* Integrate AI/ML systems with existing logging, SIEM, and incident response processes.

* Lead or participate in AI-focused security assessments, red-teaming, and adversarial testing; drive remediation and verification.

Strategy, leadership & enablement

* Help define and evolve the organization's AI security strategy, standards, and roadmap in partnership with Security, Engineering, Data, Legal, Privacy, and Risk.

* Translate global privacy, data sovereignty, and regulatory requirements into practical technical controls for AI workloads across multiple cloud environments.

* Prepare and deliver executive-ready briefings and narratives on AI security risks, controls, and progress.

* Mentor other engineers and serve as THE internal subject matter expert on AI/ML security, generative AI, and LLM-based systems.

Qualifications Expected for Position

• 7+ years of experience in information security, security engineering, or related fields, including significant time building and securing production systems.
• 3+ years of hands-on experience with AI/ML technologies (such as LLMs, RAG, model training/fine-tuning, MLOps, or AI-powered products), including implementation of security controls or guardrails for these systems.
• Strong programming skills in one or more relevant languages (e.g., Python, TypeScript/JavaScript, Go, or similar), with a track record of contributing to production-grade tools, services, or libraries.
• Deep understanding of cloud security architecture and controls on at least one major cloud platform (AWS, Azure, or GCP), including identity, networking, secrets management, data protection, logging, and monitoring.
• Experience designing and implementing controls in a highly regulated environment; healthcare or financial services preferred.
• Demonstrated ability to lead complex technical initiatives across multiple teams, from problem definition through design, implementation, and adoption.
• Proven ability to communicate complex technical and risk topics clearly to both engineering teams and senior leadership.

Preferred Qualifications:

* Practical experience securing LLM- and genAI-based systems, such as:

• RAG architectures backed by internal data
• AI assistants, copilots, or agents integrated with enterprise tools
• Fine-tuned models and model hosting platforms

* Experience with AI IDE tools

• cursor, windsurfer, others
• Knows the security problems and has practical solutions that balances innovation with innovation.

* Familiarity with AI/ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, Scikit-learn) and/or modern LLM development stacks and IDEs (e.g., API-based LLMs, self-hosted models, AI-enhanced coding tools).

* Experience with:

• Security for data pipelines, feature stores, and model registries
• Detection engineering or SIEM tuning for AI-related events
• Red-teaming or adversarial testing of AI systems

* Evidence of ongoing engagement with AI and security (such as side projects, open-source contributions, lab environments, publications, or conference talks).

* Familiarity with emerging AI security and safety standards and forward-looking industry guidance and horizon reports.

* Relevant certifications (e.g., cloud security, security engineering, or governance) are a plus.

* Strong analytical and problem-solving skills, with the ability to operate effectively in a fast-evolving technical and regulatory landscape.

* High level of integrity and ethical conduct.

This role is a fit if you:

* Regularly build, break, or secure AI/ML or LLM-based systems in your day-to-day work or personal projects.

* Are comfortable reading and writing code, experimenting with new AI tools, and wiring them into real systems.

* Enjoy turning ambiguous AI ideas and risks into concrete architectures, controls, and automation.

* Can move fluidly between deep technical discussions and concise, executive-level explanations.

This role is not a fit if you:

* Prefer to focus solely on policy, governance, or vendor assessments without hands-on technical work.

* Do not actively engage with current AI/LLM tooling, research, and emerging practices.

* "Describe a specific LLM or AI/ML system you have secured. What were the main risks and what controls did you implement?"

* "What AI tools, libraries, or environments do you actively use or experiment with today (work or personal), and for what?"

* "What do you see as the most important AI security or safety developments on the horizon over the next few years, and why?"

The base salary range for this position is$180,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Machine Learning Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem - auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios - and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.

What you'll do:

• 
  
• Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
  
• Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
  
• Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
  
• Use LLMs and generative AI to accelerate internal ML workflows - synthetic data generation, code generation, automated analysis, and rapid prototyping
  
• Use simulation to de-risk ML model deployments - validate new bidding and optimization strategies before they touch live traffic
  
• Define the technical direction for simulation and AI infrastructure and mentor engineers on the team
  

What we're looking for:

• 
  
• Strong production Python skills and experience building simulation or modeling systems
  
• Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
  
• Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows - and good judgment about when they help vs. when they don't
  
• Adtech experience: you understand auction theory, RTB mechanics, and the dynamics of programmatic advertising
  
• Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks
  
• Clear written communication: you'll be defining new technical directions and need to bring others along
  
• Ownership: you scope, design, and ship systems end-to-end with minimal direction
  
• Nice-to-Haves:
  
  • 
    
  • Causal inference - uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Experience with discrete event simulation, Monte Carlo methods, or digital twins
    
  • Reinforcement learning - using simulated environments for policy learning and evaluation
    
  • Experience building agentic AI systems or multi-agent simulations
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • MLOps experience - model deployment, monitoring, and pipeline orchestration on AWS
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

The Opportunity

The University of Central Florida (UCF) has established several interdisciplinary faculty research clusters to strengthen its academic offerings and research mission. In support of this effort, we invite candidates for two (2) tenure-earning assistant professor, tenured associate professor, or tenured professor positions with the university research center on Resilient, Intelligent, and Sustainable Energy Systems (RISES). The positions have an anticipated start date of August 8, 2026.

These are interdisciplinary positions that will be expected to strengthen both the RISES Center and a chosen tenure home department and may include a combination of joint appointments. A strong advantage of this position is the ability of the candidate to choose multiple units for their joint appointment in the College of Engineering and Computer Science, the College of Sciences, or both.

All candidates whose research are at the forefronts of energy systems, resilience, and sustainability will be considered. The technical fields of specific research interest for the two positions include but are not limited to:

Position # 1- Sustainable Energy Systems: Non-Combustion (Host Department: Mechanical and Aerospace Engineering):

An ideal candidate will have extensive expertise in pathways for novel processes of electric power generation and storage that do not involve combustion. The selected candidate should be proficient in process design, characterization, and modeling of low carbon electricity generation technologies that ensure access to affordable, reliable, and sustainable power for all. We seek candidates with a strong foundation in fluid mechanics, thermodynamics, heat and mass transfer, and energy systems engineering, and a demonstrated research record in non-combustion-based electric power generation and/or energy storage.

Areas of particular interest include, but are not limited to:

• 
  

• Advanced nuclear energy systems, including small modular reactors (SMRs), microreactors, molten salt reactors, liquid metal reactors and high-temperature gas cooled reactors, especially those supporting grid resilience.

  
  

• Hydrogen production and storage, particularly hydrogen derived from nuclear or natural gas with carbon capture (blue hydrogen).

  
  

• Thermal energy storage and high-efficiency heat exchangers for industrial and grid-scale applications.

  
  

• Electrochemical systems, including next-generation batteries and fuel cells for defense, aerospace, and critical infrastructure.

  
  

• Energy generation and storage systems modeling, optimization, and control, with emphasis on reliability, affordability, and national security.

  
  

• Experimental platforms for high-temperature, high-pressure energy systems.

  
  

• Risk-informed design of energy infrastructure.
  

  
  

Candidates should demonstrate the ability to lead an independent, externally funded research program and contribute to interdisciplinary collaborations. A strong record of peer-reviewed publications, mentorship, and engagement with industry, national laboratories, or large-scale research initiatives is highly desirable. Experience with computational tools (e.g., CFD, FEA, system-level modeling) and/or experimental platforms for energy systems is expected.

Position # 2 - Machine Learning and AI for Energy Systems (Host Department: Computer Science and possibly Electrical and Computer Engineering Department):

An ideal candidate would have extensive experience applying modern machine learning techniques to solving complex problems within the energy systems. The candidate should have a strong foundation in deep learning techniques (including convolutional neural networks, recurrent neural networks and multi-head attention models). An experience with specialized foundation models is a plus.

Areas of interest include but are not limited to:

• 
  

• Energy market and load/generation forecasting, including short- and long-term demand prediction, renewable generation forecasting (solar, wind, hydro) under uncertainty, spatiotemporal modeling for distributed energy systems, energy markets, transfer learning and domain adaptation for data-scarce regions and integration of weather, mobility, and socioeconomic data for predictive modeling.

  
  

• Distributed infrastructure resource management, including data-driven modeling and coordination of interdependent infrastructure systems and their subsystems (such as networks of transportation, gas, electricity grid), multi-agent reinforcement learning for distributed coordination and demand response optimization using AI.

  
  

• Distributed infrastructure system optimization, such as real-time optimization of interdependent infrastructure and energy systems using AI and advanced control methods, hybrid physics-informed and data-driven modeling and control for stability and flexibility.

  
  

• Energy system resiliency research, including detection of faults and cyber-attacks, outage prediction under extreme conditions, resilient cybersecurity solutions, and self-healing algorithms.
  

  
  

Candidates should demonstrate not only extensive experience in deep learning, reinforcement learning, and unsupervised learning but also evidence in interdisciplinary, human-centric, community-based, and data-driven research on energy systems.

Successful candidates will have research impact as reflected in high-quality publications and the ability to build a well-funded and sustainable research program. We are looking for team players who can further enhance our strong campus-wide efforts in energy systems research. The positions will carry ranks commensurate with the candidate's prior experience and record.

UCF is one of the nation's largest universities with a diverse student body of nearly 70,000 students and has grown substantially in size, quality, diversity, and reputation. Today, the university offers more than 240 degree programs. In 2019, UCF was officially recognized as a Hispanic Serving Institution (HSI) by the U.S. Department of Education and a "Green College" by the Princeton Review for our efforts in sustainability and environmental responsibility. UCF's students represent all 50 states and over 120 countries. UCF is in a centralized location that is 30 minutes to Walt Disney World and Universal Orlando and 60 minutes to the beach. UCF has 16 sports teams, including football, soccer/futbol, tennis, volleyball, and 600+ cultural, academic, and social student clubs and organizations all led by faculty mentors. In addition, UCF has several associations for faculty and staff, among them, the Black Faculty and Staff Association (BFSA), the Latino Faculty and Staff Association (LaFaSA), and the PRIDE Faculty and Staff Association. UCF received the 2019 Higher Education Excellence in Diversity (HEED) Award from INSIGHT Into Diversity magazine, which recognizes U.S. colleges and universities that demonstrate an outstanding commitment to diversity and inclusion.

The Carnegie Foundation has classified UCF as an R1 Doctoral University for its high research activity and community engagement. This past fiscal year, UCF brought in nearly $205M. The RISES center is one of nation's very top university research centers as measured by federal funding. For the fifth consecutive year, UCF has been recognized among the nation's most innovative universities according to U.S. News & World Report while Kiplinger's and The Princeton Review have ranked UCF as one of the nation's best values for a college education.

UCF is an economic engine, attracting and supporting industries vital to the region's future while providing students with real-world experiences that help them succeed after graduation. UCF's Orlando location also puts it at the center of the Florida High Tech Corridor. The corridor has an excellent industrial base that includes software, defense, space, simulation and training, and a world-renowned entertainment industry. Adjacent to UCF is a thriving research park that conducts over $2 billion in funded research, hosting more than 100 high-technology companies and UCF's School of Modeling, Simulation, and Training. UCF also has an accredited medical school which was established in 2006 and is a neighbor to the VA, Nemours, and the UCF Lake Nona Medical Center, all of which have a strong interest in sustainable energy systems research and demonstration. Great weather, easy access to the seashore, one of the largest convention centers in the nation, and one of the world's best airports are just a few features that make Orlando an ideal location. We encourage you to learn more about UCF at faculty.

Minimum Qualifications:

• A Ph.D. or foreign degree equivalent from an accredited institution, in an area appropriate to the RISES center at the time of appointment. The selected candidate must also have a record of high impact research related to energy systems, demonstrated by a strong scholarly and/or funding record.

• In order to obtain tenure upon hire, the selected candidate must have a demonstrated record of teaching, research and service commensurate with rank in the tenure department.

Preferred Qualifications:

• 
  

• Past work experiences in a national lab and/or industry are desired.

  
  

• A history of working with teams, especially teams that span multiple disciplines, is a strongly preferred qualification.

  
  

• Prior work experience with energy storage systems is highly preferred.

  
  

Additional Application Materials Required:

UCF requires all applications and supporting documents be submitted electronically through the Human Resources employment opportunities website, jobs/. In addition to the online application, interested candidates should upload the following:

• A curriculum vitae.

• 
  

  A letter of interest describing qualifications for the position, such as research agenda and teaching experience/interest. In the letter candidates must include:

  
  
  • 
    

  • their background in research and scholarship in or related to the areas noted in the job description above.

    
    

  • specifically highlight their interdisciplinary approach to research.

    
    

  • specify which position they are applying to and which department they plan to reside.

    
    
  
  

• 
  

• A teaching statement.

  
  

• A research statement.

  
  

NOTE: Please have all documents ready when applying so they can be attached at that time. Once the online submission process is finalized, the system does not allow applicants to submit additional documents later.

The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations) documenting the conferral of their qualifying academic credentials.

Questions regarding this search should be directed toDr. Zhihua Qu at .

Special Instructions to the Applicants:

Candidates needto specify in their cover letters which position they are applying to and which department they plan to reside.

Sponsorship for employment-based visas will only be considered under exceptional circumstances and is not guaranteed. Preference will be given to candidates who are currently authorized to work for any employer in the United States.

Job Close Date:

Open until filled

Note to applicants: Please keep in mind that a job posted as 'Open until filled' may close at any time without notice. As such, we encourage you to submit your application and all required documentation as quickly as possible to ensure consideration for the posted position.

Are you ready to unleash YOUR potential?

As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation, you'll play an integral role at one of the most impactful universities in the country. You'll be met with opportunities to connect and collaborate with talented faculty, staff, and students across 13 colleges and multiple campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow, you'll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you'll have countless rewarding experiences that go well beyond a paycheck.

Working at UCF has its perks!UCF offers:

• 
  
• Benefit packages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program.
  
• Paid time off, including annual (12-month faculty) and sick time off and paid holidays.
  
• Retirement savings options.
  
• Employee discounts, including tickets to many Orlando attractions.
  
• Education assistance.
  
• Flexible work environment.
  
• And more...For more benefits information, view the UCF Employee Benefits Guide click here.
  

Unless explicitly stated on the job posting, it is UCF's expectation that an employee of UCF will reside in Florida as of the date the employment begins.

Additional Requirements related to Research Positions:

Pursuant to Florida State Statute 1010.35, prior to offering employment to certain individuals in research-related positions, UCF is required to conduct additional screening. Applicants subject to additional screening include any citizen of a foreign country who is not a permanent resident of the U.S., or who is a citizen or permanent resident but is affiliated with or has had at least 1 year of education, employment, or training in China, Cuba, Iran, Russia, North Korea, Syria, or Venezuela.

The additional screening requirements only apply to research-related positions, including, but not limited to faculty, graduate positions, individuals compensated by research grants or contract funds, post-doctoral positions, undergraduate positions, visiting assistant professors, and visiting research associates.

Department

Work Schedule

Type of Appointment

Expected Salary

As a Florida public university, the University of Central Florida makes all application materials and selection procedures available to the public upon request.

UCF is proud to be a smoke-free campus and an E-Verify employer.

If an accommodation due to a disability is needed to apply for this position, please call or email .

For general application or posting questions, please email .

*At Securian Financial the internal position title is Data Science Sr Con.*

Position Overview

As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.

You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.

Key Responsibilities

• Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.

• Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.

• Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.

• Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.

• Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.

• Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.

• Drive adoption of enterprise standards for data science, machine learning, and responsible AI.

• Identify opportunities for process improvements and automation using advanced analytics and AI techniques.

• Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.

Preferred Qualifications

• A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.

• Experience building and deploying production solutions

• Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.

• 2+ years of experience in Insurance, actuarial, or a related field

• Proficiency in programming languages such as Python

• Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.

• Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models

• Excellent problem-solving skills and the ability to think critically and analytically.

• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.

• Demonstrated ability to manage multiple projects and prioritize tasks effectively.

• A passion for continuous learning and staying current with industry trends and developments.

Preferred Skills

• Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.

• Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.

• Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.

• Knowledge of data governance and data privacy regulations.

• Background in finance, healthcare, or other specialized industries.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Sr. Engineering Manager, AI/ML Serving Platform

The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon).

Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include:

• 
  
• Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second.
  
• Production GenAI & LLM model inference stack for emerging use cases.
  
• Model routing, deployment, monitoring. Kubernetes-based provisioning.
  
• Feature fetching, caching, and logging
  

What you'll do

• 
  
• Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity.
  
• Set technical direction for the team based on company and org priorities
  
• Coach and develop talent on the team.
  

What we're looking for:

• 
  
• Experience managing platform engineering teams with many cross-organizational customers
  
• Experience leading the development of large-scale distributed serving systems
  
• Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale
  
• Bachelor's degree in Computer Science, a related field or equivalent experience.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-AH2

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

• Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
• Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
• Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
• Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
• Better together:We check our egos at the door. We work together, so we win together.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

*At Securian Financial the internal position title is Data Science Sr Analyst or Data Science Consultant. The title and salary will be determined based on experience and applied skills.*

Summary

As an Operational Support Data Scientist at Securian Financial, you will bridge advanced analytics and day-to-day business operations by designing, deploying, monitoring, and continuously improving AI-driven solutions that support enterprise processes.

This role focuses on supporting reliable, scalable, and explainable AI solutions that enhance operational efficiency, decision support, customer experience, and risk management across Digital, Marketing, Sales, and Servicing functions.

You will operate at the intersection of data science, MLOps, and the business - ensuring models are maintained, enhanced, monitored, and aligned with Securian's Enterprise Data Strategy Vision and Operating Principles.

Responsibilities include but are not limited to:

AI Solution Development & Deployment

• Work with business teams to enhance existing solutions to enhance and optimize existing AI/ML solutions.

• Deploy and manage solutions using cloud-native tools (e.g., AWS SageMaker).

Operational Model Support & Optimization

• Monitor model performance, data drift, and operational KPIs.

• Troubleshoot production issues and continuously enhance and optimize models for performance, stability, and cost efficiency.

• Establish measurement frameworks to quantify operational impact of deployed solutions.

Data Engineering & Analytical Execution

• Transform structured, semi-structured, and unstructured data into actionable features and insights.

• Perform exploratory analysis and visualization to identify operational improvement opportunities.

• Collaborate with engineering teams to productionize data solutions.

Stakeholder Engagement & Explainability

• Partner with cross-functional operational stakeholders to understand business workflows and translate them into AI-enabled solutions.

• Communicate complex AI methodologies and results clearly to technical and non-technical audiences.

• Ensure model transparency, explainability, fairness, and ethical AI application in alignment with enterprise governance standards.

Required Qualifications

• Demonstrated experience developing, deploying, or supporting production AI/ML models in cloud environments.

• Strong proficiency in Python and experience with tools such as AWS SageMaker and GitHub.

• Experience building operationalized data science solutions (not just prototypes).

• Strong understanding of statistical modeling, machine learning algorithms, and model validation techniques.

• Ability to clearly explain technical concepts, model outputs, and operational trade-offs to stakeholders.

• Strong ethical judgment with a commitment to responsible and unbiased AI development.

Preferred Qualifications

• 2+ years of hands-on experience in data science, applied AI, or machine learning.

• Experience supporting AI solutions in operational or production environments.

• Familiarity with MLOps practices, model governance frameworks, and automation tooling.

• Experience working in regulated industries (financial services preferred).

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible to bring life-changing therapies to patients worldwide.

The AI/ML organization at Takeda is building a team to transform how medicines are discovered. Our goal is to apply AI and machine learning across the entire drug discovery process, not just isolated steps, but as an integrated approach from target identification through development. This requires discernment: knowing which models and methods fit each problem, and the creativity to adapt when they don't. We work with foundational models, generative approaches, and autonomous systems, but the tools only matter when paired with people who understand the science deeply enough to use them well. Our team brings together computational scientists, biologists, engineers, and drug hunters. If you want to contribute your expertise to hard problems alongside colleagues with different perspectives, and help shape how AI delivers real impact in drug discovery, we'd like to hear from you

We are seeking a Senior Scientist to lead the design and implementation of AI orchestration systems within the AI/ML Foundation team. This role combines expertise in agentic AI systems, data engineering, and software architecture to build the infrastructure that enables seamless coordination of AI capabilities across Computational Sciences and Global Research. You will be responsible for creating intelligent orchestration layers that connect diverse AI models, data pipelines, and computational resources to accelerate drug discovery across all therapeutic modalities. The ideal candidate brings strong engineering fundamentals with experience in distributed systems and a passion for building scalable AI platforms.

Accountabilities:

• Design and implement AI orchestration frameworks that integrate agentic systems, data pipelines, and model serving infrastructure to enable coordinated multi-model workflows.
• Build scalable orchestration layers connecting predictive models, generative models, and foundation models with experimental data sources for end-to-end workflow automation.
• Develop data engineering solutions including data ingestion pipelines, transformation workflows, feature stores, and model serving infrastructure supporting discovery across modalities.
• Create intelligent orchestration systems that coordinate agentic AI components for autonomous task decomposition, tool selection, and execution across scientific domains.
• Establish monitoring, observability, and governance frameworks ensuring reliability, reproducibility, and transparent decision-making across AI systems.
• Partner with computational scientists, data engineers, and research teams to ensure orchestration infrastructure meets the needs of diverse discovery workflows.
• Stay current with advances in agentic AI, workflow orchestration, and distributed systems; evaluate and integrate emerging technologies.

Education & Requirements:

• PhD in Computer Science, Data Engineering, Computational Science, or related field with 2+ years relevant experience, OR MS with 6+ years relevant experience.
• Strong software engineering skills with proficiency in Python and experience with distributed systems and cloud infrastructure (AWS, GCP).
• Experience with workflow orchestration frameworks (Airflow, Prefect, Dagster, or similar) and data pipeline development.
• Familiarity with agentic AI frameworks (LangChain, AutoGen, or similar) and LLM integration patterns.
• Experience with containerization (Docker, Kubernetes) and microservices architecture.
• Strong problem-solving skills and ability to work across teams in a fast-paced R&D environment.

Preferred:

• Experience building AI/ML platforms or infrastructure in pharmaceutical or life sciences settings.
• Familiarity with scientific computing workflows and computational chemistry/biology tools.
• Experience with model serving frameworks (TorchServe, Triton, BentoML) and feature stores.
• Knowledge of monitoring and observability tools (Prometheus, Grafana, MLflow).
• Experience with event-driven architectures

Additional Competencies Common in Strong Candidates

• Ability to lead cross-functional initiatives and mentor junior scientists.
• Experience in translating computational insights into experimental strategies.
• Strong publication record or demonstrated thought leadership in AI for biology and molecular design.
• Comfort working in fast-paced, innovation-driven environments with evolving priorities.

ADDITIONAL INFORMATION

• The position will be based in Cambridge, MA

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Worker Type

Worker Sub-Type

Time Type

Job Exempt

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible to bring life-changing therapies to patients worldwide.

The AI/ML organization at Takeda is building a team to transform how medicines are discovered. Our goal is to apply AI and machine learning across the entire drug discovery process, not just isolated steps, but as an integrated approach from target identification through development. This requires discernment: knowing which models and methods fit each problem, and the creativity to adapt when they don't. We work with foundational models, generative approaches, and autonomous systems, but the tools only matter when paired with people who understand the science deeply enough to use them well. Our team brings together computational scientists, biologists, engineers, and drug hunters. If you want to contribute your expertise to hard problems alongside colleagues with different perspectives, and help shape how AI delivers real impact in drug discovery, we'd like to hear from you.

Position Overview

We are seeking an innovative and dynamic AI/ML Research Senior Scientist with a passion for leveraging AI/ML in antibody discovery and design to join our Large Molecule AI/ML team. This role will be part of a multidisciplinary team focused on integrating advanced computational methods with cutting-edge experimental strategies to drive breakthrough discoveries in large molecule therapeutics and deepen our understanding of disease biology. The ideal candidate will have a strong background in computational biology, machine learning, and structural modeling and specifically with the application of AI/ML in biologics discovery.

Key Responsibilities

• Develop and implement state-of-the-art AI/ML methodologies for de novo antibody design and discovery, including fine-tuning protein language models and generative protein design.
• Develop, implement, and deploy advanced machine learning algorithms for the multi-objective optimization of antibodies, antigens, ADCs, and other biologics.
• Build tools to incorporate data from integrated Design-Predict-Make-Confirm cycles with automated experimental platforms generating quality data at scale needed for project-specific and foundational models.
• Innovate, develop, and apply predictive models for protein design and developability engineering, utilizing large-scale NGS, in vitro, in vivo and other proprietary in-house and external data sources.
• Manage and process large-scale biological datasets for model training and evaluation
• Stay abreast of advancements in NLP, ML, and generative AI to build novel tools that enhance therapeutic discovery and development.
• Collaborate with internal experts to optimize the computational discovery infrastructure, offering both individual and team-based innovative solutions.
• Communicate complex scientific ideas effectively to both technical and non-technical audiences, fostering collaboration across multidisciplinary teams.

Qualifications

• PhD degree in a scientific discipline (or equivalent) with 2+ years relevant experience, or MS with 8+ years relevant experience, or BS with 10+ years relevant experience
• Proven track record in developing machine learning models for chemical and biological data, including AI/ML-enabled molecular generation and affinity prediction.
• Demonstrated experience in modeling antibody/ antigen sequence, structure and interaction.
• Proficiency in programming languages such as Python and experience with cloud computing capabilities.
• Strong analytical and problem-solving skills, with demonstrated creativity and the ability to contribute individually and collaboratively.
• Versatile communicator who can elucidate complex ideas to non-specialists and commitment to continuous improvement and innovation.
• Demonstrated learning agility, and scientific curiosity while maintaining focus on driving greater impact in the face of uncertainty and change.
• Strong problem-solving aptitude and strategic thinking with an entrepreneurial mindset.

Preferred Qualifications & Skills:

• Experience developing or applying modern ML architectures for antibody design models (LLMs, diffusion models, flow-matching, Bayesian Optimization, GNNs, etc.)
• Experience designing de novo binders for specified targets and epitopes
• Experience analyzing NGS-derived antibody repertoires for sequence- and structure-based design
• Experience with molecular simulation and conformational analysis techniques

ADDITIONAL INFORMATION

• The position will be based in Cambridge, MA

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Worker Type

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Job Exempt

Job Description At Boeing, we innovate and collaborate to make the world a better place.

We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth.

Find your future with us.

Millennium Space Systems, A Boeing Company, delivers affordable, high-performance space systems for exacting customers.

At Millennium, you will be part of a close-knit team working on exciting technological problems.

We work in an open environment where ideas are shared across all disciplines, and there are ample opportunities for advancement based on excellence.

Superstars are welcome.

At Millennium, we innovate and collaborate to make the world a better place.

From the seabed to outer space, you can contribute to work that matters with a company committed to fostering an environment for every teammate that's welcoming, respectful and innovative, with great opportunities for professional growth.

Find your future with us.

Job Summary As a Mission Analysis Engineer on the Mission Analysis Engineering Team, you will be the Responsible Engineering Authority (REA) for all modeling, simulation, and analysis for a program, study, or proposal.

You will develop methods to simulate mission scenarios and assess end-to-end constellation capabilities; design and implement image processing, inertial tracking, state estimation, and optimal control algorithms for sensor systems; and provide tools and modeling platforms for validating system performance during on-orbit mission operations.

You will work shoulder-to-shoulder with technical and program leadership and will be responsible for program management activities, to ensure that high-quality work products are delivered on time and that the proposed mission solution meets the customer's need.

Position Responsibilities: Build and maintain simulations for large satellite constellations to assess effectiveness against mission requirements Own the Electro-Optical/Infrared (EO/IR) image processing algorithms chain, from photon to Warfighter Create models for space vehicle payloads to use in system trades and performance predictions Develop novel algorithms, models, and data processing schemes for EO/IR sensing and tracking systems Concepts of Operation (CONOPS)/Design Reference Mission (DRM) development, modeling, and simulation Collaborate with software and firmware teams to develop platforms for simulation deployment (eg.

software/hardware-in-the-loop) Basic Qualifications (Required Skills / Experience): 5 years experience in aerospace systems design, analysis, and/or operation Bachelor's degree in engineering or the physical sciences / computer science Experience in modeling and simulation of complex satellite systems using common tools such as Matlab/Simulink, Python, or C++ Experience with EO/IR optical systems and image processing algorithms Experience in orbital mechanics and kinematic state estimation This position requires the ability to obtain a U.S.

Security Clearance for which the U.S.

Government requires U.S.

Citizenship.

An interim and/or final U.S.

Top Secret Clearance Post-Start is required.

Preferred Qualifications (Desired Skills/Experience): 7 years' experience in satellite design and/or operation Experience with government furnished image models like ASSET, PRA Toolkit, or AFSIM Proficiency with hardware development languages such as VHDL, Verilog, Vitis Model Composer Experience with satellite space-to-space communication networks Technical leadership experience, including requirements V&V, delegation and management of technical tasks, responsible engineering authority (REA) experience, and cost account management (CAM) experience.

Possess active TS/SCI clearance Drug Free Workplace: Millennium is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Pay & Benefits: Millennium Space Systems, A Boeing Company, offers a very competitive benefits package to include medical, dental, vision, and 401k plan.

Summary Pay Range: Level 3: $108,800
- $160,000 Before applying, please note: Millennium is DDTC-registered, ITAR-compliant Company.

This position is located at a facility that requires special access.

Applicants MUST be U.S.

citizens and eligible for a security clearance.

Additionally, applicants must be willing to apply for and maintain a security clearance.

We encourage all interested candidates to apply for any open position for which they feel they are qualified.

This position is expected to be 100% onsite.

The selected candidate will be required to work on-site at one of the listed location options.

Applications for this position will be accepted until Mar.

20, 2026 Export Control Requirements: This position must meet U.S.

export control compliance requirements.

To meet U.S.

export control compliance requirements, a "U.S.

Person" as defined by 22 C.F.R.

§120.62 is required.

"U.S.

Person" includes U.S.

Citizen, U.S.

National, lawful permanent resident, refugee, or asylee.

Export Control Details: US based job, US Person required Relocation Relocation assistance is not a negotiable benefit for this position.

Security Clearance This position requires the ability to obtain a U.S.

Security Clearance for which the U.S.

Government requires U.S.

Citizenship.

An interim and/or final U.S.

Top Secret Clearance Post-Start is required.

Visa Sponsorship Employer will not sponsor applicants for employment visa status.

Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer.

Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.aa415a4b-8b21-40fc-a65c-70d2b25ca29a

Job Title: Enterprise AI-Ready Data Architect / Senior Data Engineer

Duration : 6 Months

Location: East Hanover (Onsite: 3days & 2 days remote a week)

Job Description:

The Enterprise AI-Ready Data Architect / Senior Data Engineer is a hybrid role with a focus on enterprise data architecture, AI integration, and hands-on data engineering. You will design and implement AI-ready, analytics-ready data products and semantic layers (including ontologies) that enable scalable enterprise analytics and integration with AI agents and GenAI use cases. You will embed governance-by-design (quality, lineage, contracts, observability) and partner closely with business and technology stakeholders—in pharmaceutical domains.

Key Responsibilities

1) Enterprise Data Architecture (AI-Ready by Design)

• Define and deliver strategic enterprise data architectures that scale and support AI-ready outcomes.

• Design data workflows capturing as-is and to-be states for enterprise modernization.

• Establish architecture patterns for:

• Semantic Context Layer

• Data Warehouses, Data Lakehouses

• Data Catalogs and Data Marketplaces

• Event-driven and metadata-driven architectures

• Distributed data management (Data Mesh, Data Fabric, Domain-Driven Design)

• Streaming data management

2) Data Products, Semantic Products, and Master Data

• Design data products that are AI-ready and reusable across domains and use cases.

• Build and govern semantic models, metrics-first modeling, and ontologies (knowledge graph concepts).

• Deliver Master Data Management (MDM) capabilities and align master/reference data with business needs.

• Support structured and unstructured data management to enable broader AI and analytics capabilities.

3) AI Integration and GenAI Enablement

• Enable contextual intelligence and data enrichment using:

• Contextual retrieval, entity linking, enrichment using LLMs and embeddings

• Vector search, RAG pipelines, and LLM-based enrichment

• Implement graph-based approaches:

• RDF, OWL, and SPARQL querying

• Property graph / knowledge graph modeling for relationships and reasoning

4) Data Engineering Delivery

• Design and implement robust ETL/ELT pipelines and orchestration frameworks.

• Develop high-quality transformations and data modeling using:

• Advanced SQL

• Tools such as dbt, Airflow, Dataiku

• Ensure production-grade engineering practices for performance, reliability, and maintainability across pipelines.

5) Governance and Standards (Embedded)

• Implement open-source data standards across:

• Data contracts

• Data quality

• Data lineage

• Lead metadata-driven governance through metadata management, observability, and policy-aligned design.

Skills and Qualifications

Core Technical Skills

Advanced SQL proficiency

Data platforms and governance tooling experience (one or more):

Snowflake, Databricks, Collibra, Salesforce

ELT/ETL and orchestration:

dbt, Airflow, Dataiku

BI and reporting:

Power BI

Cloud platforms:

AWS, Azure, GCP

Modern architecture and data management:

Data Mesh, Data Fabric, streaming, metadata-driven architecture

Graph and semantic technologies:

Knowledge graphs, property graphs (Neo4J), RDF/OWL, SPARQL, graph query languages

Domain and Modeling Expertise

• Experience with data modeling techniques:

• Conceptual, logical, physical modeling—preferably for the pharmaceutical industry

• Semantic modeling, ontology design, and reusable metric layers

• MDM concepts and implementation approaches

AI and GenAI Enablement Skills

• Familiarity with GenAI technologies for enhancing analysis/reporting and data enrichment

• Experience with embeddings, vector search, RAG patterns, and entity resolution/linking concepts

Nice to Have

• Experience with Palantir platform

Recommended Certifications

• CDMP (DAMA)

• TOGAF

• EDM Council frameworks:

• DCAM, CDMC, Open Knowledge Graph, Data Ethics and Responsible AI

Qualifications

• 10+ years of experience in data architecture, process automation, implementation and large-scale data engineering, ideally in pharmaceutical

• Advanced technical engineering and hands-on experience in data modeling for OLAP, workflow automation, AI/ML integration

• ETL pipeline design and development

• Bachelor’s degree in computer science, information technology, engineering, or data science

• Strong problem-solving skills and attention to detail.

• Excellent communication skills with the ability to work with senior stakeholders to translate business requirements to technical data requirements

Position: Nonclinical Lab Research Assistant

Location: Onsite - Blue Ash, OH

Duration: 12-month contract - possibility for extensions

Schedule: Monday-Friday (8-9am - 5pm)

Start: ASAP

Position Overview

Our client is seeking a highly experienced and technically advanced Research Assistant to support preclinical device evaluation and next-generation physiological modeling initiatives.

This role sits within the Preclinical Research team and focuses on the design, development, execution, and interpretation of advanced bioreactor-based studies to evaluate the safety and performance of medical devices. The selected candidate will play a critical role in building sophisticated, physiologically relevant 3D models that replicate real-world biological systems with high fidelity and reliability.

This is a highly technical, laboratory-intensive role requiring deep hands-on expertise in system design, electromechanical engineering, tissue engineering, and biological model integration. The ideal candidate can contribute immediately with minimal training and thrives in a fast-paced, high-performance research environment.

Core Responsibilities

System Design & Physiological Model Innovation

• Lead the exploration, design, and development of advanced 3D physiological and bioreactor-based systems that mimic real-world biological conditions.
• Design, build, optimize, and maintain sophisticated ex-vivo tissue and organ testing platforms.
• Develop automated feedback control algorithms for physiological systems to ensure accurate simulation of biological dynamics.
• Architect and iteratively improve laboratory system infrastructure to enhance reliability, repeatability, and data integrity.
• Drive innovation in non-animal testing models for medical device evaluation.

Electromechanical System Development

• Design and optimize electromechanical systems for tissue- and organ-level device testing.
• Develop advanced measurement and control systems using LabVIEW and related tools.
• Lead rapid prototyping of custom components using 3D modeling (SolidWorks) and additive manufacturing.
• Integrate hardware and biological systems to create seamless testing environments.
• Contribute to extracorporeal support system design (preferred background in electrical engineering).

Hands-On Laboratory Execution

• Perform meticulous hands-on laboratory work involving:
• 3D printing and additive manufacturing
• Tissue engineering
• Cell culture systems
• Ex-vivo tissue and organ testing
• Execute and support bioreactor-based experimental studies aligned with ongoing research initiatives.
• Maintain precision and attention to detail in all lab procedures, recognizing that the work involves intricate techniques and system “tricks.”
• Ensure laboratory safety, regulatory compliance, and adherence to institutional research standards.

Data, Analysis & Scientific Reporting

• Collect, store, and manage experimental data with scientific rigor and traceability.
• Apply statistical and computational tools to analyze and interpret data.
• Generate detailed technical documentation and formal reports.
• Present findings clearly and effectively to cross-functional research and engineering teams.
• Contribute to study design refinement based on data-driven insights.

Research & Continuous Advancement

• Maintain a disciplined schedule of reviewing scientific publications to stay ahead of industry standards and emerging technologies.
• Explore and evaluate novel technologies not yet widely adopted in practice.
• Contribute strategically to core project discussions to drive team growth and visible outcomes.
• Demonstrate long-term commitment to advancing competitive medical device innovation.

Required Qualifications

Education

• Ph.D. strongly preferred in Biomedical Engineering, Electrical Engineering, Mechanical Engineering, Biotechnology, or a related discipline.
• Master’s-level candidates will be considered only if their direct laboratory experience precisely matches the required hands-on output and technical depth.

Experience

• 3–5 years of high-level research experience in advanced biomedical or electromechanical laboratory environments.
• Demonstrated experience designing non-animal testing models for medical device evaluation.
• Proven experience in bioreactor design for ex-vivo tissue or organ testing.
• Strong background in electromechanical engineering (mechatronics, robotics, control systems).
• Hands-on experience in 3D printing, tissue engineering, and cell culture (non-negotiable).
• Experience designing electromechanical systems for tissue- or organ-level device evaluation.
• Working knowledge of anatomy, physiology, tissue mechanics, and biological system dynamics.
• Experience working in regulated R&D environments preferred.
• Familiarity with medical device design controls preferred.

Technical Skills

• Expert-level proficiency in:
• SolidWorks (3D modeling and design)
• LabVIEW (advanced system measurement and control)
• Strong statistical and computational analysis capabilities.
• Ability to develop automated feedback control algorithms.
• Deep understanding of integrated biological and engineering systems.
• Background in electrical engineering related to extracorporeal systems is a significant plus.

Cultural & Performance Expectations

This role requires an individual who can immediately contribute to a highly specialized research initiative.

The ideal candidate will demonstrate:

• “Hit the Ground Running” Capability – Sufficient depth of expertise to operate independently with minimal training.
• Exceptional Attention to Detail – Ability to manage intricate system nuances and precision-based lab techniques.
• Research Passion & Long-Term Commitment – A mindset suited for the “marathon” of innovation in medical device development.
• Intellectual Curiosity – Openness to learning technologies that may not yet exist in mainstream practice.
• Straightforward Communication Style – Clear, efficient collaboration in a high-performance team environment.
• Resilience in Demanding Conditions – Comfort working in an intensive research setting that may occasionally require extended hours (including 12-hour days) to meet project milestones.

Korn Ferry has partnered with the University of New Mexico Hospital (UNMH) to lead the search for their next Director, Inpatient Advanced Practice Providers (Neurosurgery). This position is based on-site in Albuquerque, New Mexico.

Position Overview

The Director, Inpatient Advanced Practice Providers (APPs) for Neurosurgery serves as the senior operational and clinical leader for the neurosurgical APP service line at University of New Mexico Hospital, the state’s only Level I Trauma Center and academic medical center. This role is responsible for leading, integrating, and advancing a high-acuity neurosurgical APP program that spans inpatient care, critical care, operative services, and ambulatory practice.

This is a rare opportunity to lead one of the highest-acuity neurosurgical APP teams in the region while maintaining an active clinical footprint. The Director partners directly with the Chair of Neurosurgery, Executive Director of Inpatient APPs, faculty leadership, and health system stakeholders to drive service line strategy, workforce integration, clinical excellence, and cultural transformation.

The service line supports approximately 2,000 neurosurgical cases annually, with ~70 percent trauma, a strong mix of elective and non-elective neurosurgery, and a 24-bed collaborative Neuro ICU. APPs are fully integrated across inpatient, OR, and clinic environments, practicing at the top of their licensure in a team-based academic model.

Key Responsibilities

Clinical Leadership & Integration

• Provide strategic and operational leadership for a 22-member neurosurgical APP team(employed and locum providers)
• Maintain active clinical practice within neurosurgery (clinic, inpatient rounding, and/or ICU coverage)
• Lead APP integration across inpatient neurosurgery, OR first-assist services, and ambulatory clinics
• Partner with neurosurgery faculty to optimize team-based care models and service coverage structures
• Support high-acuity care delivery in trauma, neurocritical care, spine, cranial, tumor, and endovascular services

Operational & Workforce Management

• Oversee complex staffing, scheduling, and coverage models across multiple employment structures and payroll systems
• Ensure reliable shift coverage, particularly for high-acuity night coverage and trauma services
• Lead workforce planning, recruitment, onboarding, retention, and professional development strategies
• Manage performance management, conflict resolution, and interdisciplinary team dynamics
• Build sustainable staffing models aligned with clinical volume, acuity, and residency expansion

Strategic Partnership & Change Leadership

• Partner directly with the Chair of Neurosurgery and senior leadership on long-range service line planning and growth strategy
• Play a central leadership role in UNMH’s transition to a modern, integrated, team-based model aligning APPs, residents, and faculty
• Lead cultural transformation efforts focused on collaboration, accountability, communication, and shared governance
• Serve as a change agent in a complex academic environment undergoing structural and operational evolution

Education, Quality & Academic Mission

• Support the expanding neurosurgery residency program and evolving resident-APP integration model
• Promote clinical excellence, quality improvement, patient safety, and evidence-based practice
• Serve as a clinical and educational resource for APPs, residents, nurses, and interdisciplinary teams
• Contribute to research, education, and academic mission advancement

Clinical Environment

• Neurosurgery volume: ~2,000 cases annually
• Trauma: ~70 percent of total volume
• Case mix: ~50 percent spine / ~50 percent cranial
• Neuro ICU: 24-bed collaborative unit
• Daily neuro census: 25–50 patients
• Service scope: trauma, neurocritical care, tumor, spine, cranial surgery, endovascular services
• APP integration: OR first-assist, inpatient, clinic

Ideal Candidate Profile

Required Background

• NP or PA with strong neurosurgery and/or neurocritical care experience
• Experience in high-acuity academic or tertiary care environments
• Deep understanding of service coverage models, multidisciplinary care teams, and complex clinical operations

Leadership Competencies

• Proven leadership experience in APP or clinical program management
• Ability to operate at both tactical and strategic levels
• Skilled in change management, culture building, and team integration
• Strong communicator with the ability to navigate complex stakeholder dynamics
• Decisive, persuasive, resilient leader comfortable leading through transformation

Personal Attributes

• High emotional intelligence and resilience
• Comfortable in ambiguity and complexity
• Strategic thinker with operational discipline
• Trusted relationship builder across clinical, academic, and administrative teams

Why This Role Is Unique

• Rare .7 administrative / .3 clinical leadership model
• High-acuity academic neurosurgery environment
• Real authority and mandate for structural change
• Direct partnership with department chair and executive leadership
• Opportunity to build a new culture and care model
• Visibility, influence, and long-term leadership growth potential
• One of the most autonomous and advanced APP practice environments in the region

SE: 510777479

We are seeking a highly skilled VDC Detailer with strong mechanical systems detailing experience to support complex data center and semiconductor projects. This role transforms design intent into fabrication-ready models and coordinated shop drawings that drive constructability, prefabrication, and seamless field installation. Candidates must bring proven Revit expertise, strong field awareness, and experience producing LOD 400 mechanical models — with added emphasis on modular design and prefabrication principles.

Required Skills & Experience

Must Haves

• 2–5+ years detailing mechanical systems for a contractor (HVAC duct, hydronic/process piping, plumbing, and mechanical equipment).
• Proficiency in Autodesk Revit (MEP) and Revizto; Fabrication CADmep/ITM experience strongly preferred.
• Proven ability to build LOD 400 fabrication-level 3D models for ductwork, piping, plumbing, and equipment.
• Experience interpreting construction documents, including plans, specs, submittals, one-lines, and P&IDs.
• Mechanical or semiconductor project background; 5+ years of field knowledge on data center or industrial projects preferred.
• Demonstrated stability and consistent employment tenure.
• Field/trade experience will be considered and is a strong plus.
• Strong attention to detail, organization, and communication with the ability to manage deadlines and collaborate across office, shop, and field teams.
• Experience with modular design, modular skids, or prefabricated assemblies.

Nice-to-Have Experience

Plusses

• Experience with trade coordination and clash detection in Revizto.
• Familiarity with relevant codes/standards: IMC, IPC, ASHRAE, SMACNA, MSS, and local jurisdictions.
• Experience supporting RFIs, change orders, and producing updated as-builts/record models.
• Ability to conduct QA/QC checks: clearances, slopes, access/valve placement, supports, and code compliance.
• Contributions to VDC standards, fabrication content libraries, and ongoing process improvement initiatives.

Job Summary

As a VDC Detailer, you will convert engineering intent into highly constructible, fully coordinated mechanical models and shop drawings. You’ll partner closely with project managers, field leaders, and fabrication teams to support coordinated installation, prefabrication strategies, and modular delivery approaches.

Key Responsibilities

• Build accurate fabrication-ready LOD 400 models for ductwork, piping, plumbing, and mechanical equipment using Revit and Fabrication tools.
• Incorporate company standards for families, parameters, naming conventions, and file structure within ACC/BIM 360.
• Produce complete shop deliverables, including annotated drawings, spool sheets, hanger/support layouts, sleeve/penetration plans, and equipment layouts.
• Generate point/export files for total station/Trimble, and issue CNC/fabrication deliverables to the shop.
• Run and participate in clash detection sessions, manage issue tracking in Revizto, and work with GCs and other trades to drive resolution.
• Maintain federated models, viewpoints, issue logs, and documentation of model changes and coordination decisions.
• Support RFIs, change orders, and updates to as-builts/record models.
• Perform QA/QC checks to ensure constructability, code compliance, and field-ready accuracy.
• Coordinate closely with PMs, superintendents, foremen, trade partners, and vendors to align model deliverables with project milestones and schedules.
• Contribute to company VDC initiatives, including standards development, content creation, and continuous improvement.

Tools You’ll Use

• Autodesk Revit (MEP)
• Fabrication CADmep/ITM
• Revizto
• Autodesk Construction Cloud / BIM 360
• Bluebeam

The Virtual Design and Construction (VDC) manager is a fast-paced position overseeing the planning and coordination of a variety of projects. The VDC Manager will lead all aspects of Harvey Cleary’s VDC construction initiatives across the company, ensuring projects are taken from the design phase and digitally modeled to solve coordination issues before the start of field installation.

This role will function as a subject matter expert for VDC processes and technology innovation platforms, ensuring that building Information modeling (BIM) coordination is utilized throughout the Harvey Cleary organization. This individual embodies Harvey Cleary’s values of integrity, quality, and innovation in their work and interactions with team members and project stakeholders. The VDC Manager will report to the Director of Technology while supporting various operations teams in the successful VDC delivery of projects.

Supervisory Responsibilities

• In collaboration with the Director of Technology, recruit, interview, hire, and train new staff in the VDC department.
• Oversee the daily workflow of the department.
• Provide constructive and timely performance evaluations of VDC team members.

Duties and Responsibilities

• Manage deployment of VDC initiatives and VDC technology platforms.
• Train, educate, and mentor VDC engineers as well as project staff on current BIM/VDC processes and services.
• Lead in the compliance, development, and refinement of the Harvey Cleary BIM Execution Plan (BEP) and adhere to the Harvey Cleary BIM standards and refinement of future iterations.
• Create Building Information Models (BIM) of varying Levels of Development (LOD) and dimensions (3/4/5/6D) to meet project requirements.
• Identify, champion, and implement innovative improvements in model-based processes and technologies that improve project delivery.
• Perform clash detection of federated models and lead coordination efforts with project teams, clients, consultants, subcontractors, manufacturers, etc.
• Create 4D and physical models to inform construction planning, site logistics, constructability reviews, lift plans, safety, quality control/assurance, etc.
• Support preconstruction teams in the development of 3D quantity takeoffs.
• Provide technical expertise to assist business development and marketing teams in pursuit efforts, including interview preparation and assistance with site logistics, physical models and 4D site logistics models.
• Participate in weekly team meetings to review the BIM coordination process, as needed, in collaboration with project teams.
• Collaborate with project teams to ensure the VDC team is producing construction documents that are efficient, accurate, and appropriate for the team’s use in their coordination efforts.
• Mentor and guide the VDC department staff to further the value of the department and it’s day to day responsibilities.
• Other duties as assigned.

Qualifications:

• Bachelor’s degree in architecture, engineering, construction management, or a related field, or equivalent training/experience.
• 5+ years AEC industry experience in VDC role, preferably in the construction industry.
• Strong knowledge of MEP industry, CAD modeling, construction scheduling, and time managment
• Proven leadership qualities from previous project roles.
• Excellent written and oral communication skills and ability to interact effectively with all levels of employees.
• Must be a motivated self-starter and the ability to handle multiple tasks.
• Ability to function as BIM/VDC project manager on assigned projects.
• Ability to develop and implement BIM/VDC processes on assigned projects.
• Ability to implement BIM/VDC field construction processes.
• Ability to manage multiple projects and priorities simultaneously.
• Ability to work well both in a team environment and on individual assignments.
• Ability to work with autonomy, think critically, and use professional judgment.
• Proficiency with modeling, CAD, and coordination software’s (Revit, Navisworks, AutoCAD, SketchUp, Procore, etc.).
• Proven experience leading BIM coordination meetings with a variety of stakeholders.
• Proficiency reading and interpreting construction drawings, specifications, and schedules.
• Proficiency with Microsoft 365 and various video conferencing platforms (Teams, Zoom, Webex, etc.).

Physical Requirements

• Prolonged periods of sitting and working on a computer.
• Willingness to communicate.
• May be required to lift, carry, and move up to 15 lbs.

Prospective employees must be able to pass a criminal background check and random drug screens.

BIM / VDC Coordinator

Department: Project Controls

Reports To: Project Controls Manager

Location: Abilene, TX & Bridgeport, AL

Company: The Newtron Group

About Us

The Newtron Group is one of the largest privately owned specialty electrical construction organizations in the United States and a national leader in Industrial Electrical and Instrumentation (E&I) services.

With over five decades of experience, Newtron delivers large-scale industrial and infrastructure projects that demand precision, coordination, and innovation. Our Project Controls Department integrates advanced Building Information Modeling (BIM) and Virtual Design and Construction (VDC) technologies into every phase of project execution—bridging design, prefabrication, and field construction to ensure quality and efficiency.

We are seeking a BIM / VDC Coordinator to join our Project Controls team and play a key role in advancing digital project delivery across The Newtron Group’s industrial portfolio.

Position Overview

The BIM / VDC Coordinator supports the design, planning, and execution of complex electrical and instrumentation projects by managing model coordination, ensuring data accuracy, and improving digital workflows across disciplines.

This position bridges the office and the field—linking design intent with constructability. The ideal candidate has a strong understanding of industrial construction, is technically proficient with BIM tools, and is passionate about using technology to improve visualization, collaboration, and execution on the jobsite.

Key Responsibilities

Digital Coordination & Execution

• Support the digital delivery of large industrial and E&I projects from concept through closeout.
• Coordinate BIM workflows and model setup using Revit, AutoCAD, and Civil 3D.
• Perform clash detection and multidisciplinary coordination using Navisworks and Revizto.
• Manage model hosting, collaboration, and deliverables using the Autodesk Construction Cloud (ACC) platform.
• Conduct model quality checks, assist with digital turnover, and encode asset data for project closeout.
• Work with laser scans and point clouds to validate field conditions and produce accurate as-built models.

Process & Innovation

• Implement and maintain digital standards and workflows that align with The Newtron Group’s Project Controls systems.
• Identify and develop process improvements that enhance data integrity, model usability, and reporting accuracy.
• Expand the use of point cloud and scan data for layout, prefabrication, and progress tracking.
• Stay informed on emerging BIM/VDC technologies and contribute to continuous improvement initiatives.

Collaboration & Support

• Act as a liaison between engineering, project management, and field operations to ensure accurate coordination and model use.
• Provide technical support and training to project teams on BIM and coordination tools.
• Collaborate with vendors, design partners, and subcontractors to ensure model alignment and consistency.

Qualifications

• Bachelor’s degree in Construction Management, Engineering, Architecture, or a related field.
• 3–5 years of experience in BIM coordination, VDC, or digital delivery within industrial or commercial construction.
• Proficiency in Autodesk Revit, Navisworks, AutoCAD, and Autodesk Construction Cloud (ACC).
• Familiarity with industrial electrical and instrumentation workflows.
• Strong communication, problem-solving, and organizational skills.
• Ability to manage multiple priorities in a collaborative, deadline-driven environment.

Preferred Qualifications

• Experience with laser scanning, point cloud processing, or asset data management.
• Proficiency in Civil 3D or Plant 3D for industrial applications.
• Professional certifications such as Autodesk Certified Professional, LEED, or PE license (a plus).

Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds.

Suffolk – America’s Contractor – is a national company with more than $8 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, U.S. Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR’s list of “Top CM-at-Risk Contractors.” For more information, visit and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram.

At Suffolk, we believe that our total rewards program should offer you and your family the support you need when it matters most. That’s why we have created a program that provides employees with access to a wide variety of options that can be personalized to support you and your loved ones physically, emotionally, and financially.

Benefits include, competitive salaries, auto allowances and gas cards for certain roles, access to market leading medical and emotional and mental health benefits, dental, and vision insurance plans, virtual care options for physical therapy and primary care, generous paid time off, 401k plan with employer match and access to expert financial resources, company paid and voluntary life insurance, tax deferred savings accounts, 10 backup daycare days each year, short- and long-term disability, commuter benefits and more. For more information, click here.

Additional benefits may be available for employees considered Travelers within our Mission Critical Group, including relocation support, monthly housing stipends, and monthly travel allowances.

The Role

The Mission Critical Center of Excellence manages billions of dollars in projects annually, specializing in data center and mission-critical construction for leading technology and telecommunications clients across the United States. Focused on fast-paced, MEP-intensive projects, the group is recognized for delivering complex solutions while offering significant opportunities for career advancement within the thriving mission-critical construction industry.

The Digital Engineering Group promotes a holistic approach to design and construction model-based services and technologies. The group defines the company strategy around the use of BIMs, data integration across models and departments, and cultural change across project teams to realize significant risk reduction on construction cost and schedule.

This BIM/VDC Manager is responsible for managing Digital Engineering, Virtual Design & Construction, and Plan + Control for Suffolk’s Mission Critical business and brings together BIM, reality capture, and field technology to transform the way we plan, build and deliver Mission Critical projects. The role works closely with project teams to implement BIM in the field, perform QA/QC verification, and capture site conditions using advanced tools like laser scanning, photogrammetry, robotic total stations and drones. Executing these services on one or more Suffolk projects is the prime responsibility of this role. Must be able to travel.

Responsibilities

• Manage the successful delivery of Digital Engineering, Virtual Design & Construction, and Plan + Control on multiple large and complex projects simultaneously. Drive the coordination process hard, while understanding competing interests, creating a balanced outcome for all stakeholders.
• Responsible for executing BIM Execution Plans and Digital Engineering strategies on Suffolk projects, including external stakeholder adherence to these plans.
• Manage the delivery of and adherence to scopes of work, schedules, and budgets for Digital Engineering services for projects and pursuits.
• Develop 3D, 4D, 5D, 6D, & 7D models to support pursuits, preconstruction, construction, and handover phases.
• Develop 3D & 4D Site Safety & Logistics models; collecting data from projects sites and incorporating construction knowledge into plans.
• Laser Scanning & Registration - perform field-based capture of 3D spatial point cloud data using laser scanners for use in existing conditions BIM development and the construction QA/QC.
• Manage point cloud data, align scans to BIM models, and generate reports for quality assurance.
• Operate robotic total stations for layout, verification, and as-built documentation.
• Photogrammetry - perform field-based drone photography and 3D photogrammetry data capture. Requires successful passing of the FAA Part 107 UAS Operator Exam.
• Support the Construction Technology Pilot process at a project level.
• Ensure successful project team experiences with all approved 3rd party vendors at a project level.
• Collect, track, and report project data and KPIs; execute processes for continual improvement at a project level.
• Provide training and support of software and tools to project teams.
• Proactively develop and maintain relationships with new and existing project teams.

Qualifications

• 4-year degree in an accredited industry related curriculum.
• Minimum 5-10 years of VDC related design and/or construction experience with demonstrated progression of technical knowledge and responsibilities.
• Proven success leading VDC on multiple projects simultaneously, or one XL project. Experience with different building types preferred.
• Thorough understanding of general construction techniques and systems. Ability to identify coordination issues and drive teams towards solutions.
• Strong written and oral communication; skilled in teaching, training, and presentations.
• Capability in 3D parametric modeling software and model coordination software. Ability to produce quantity takeoff extraction, clash detection, 4D simulations integrating construction schedule, and rendering high images of models.
• Hands-on experience with laser scanning, photogrammetry and/or UAV operations.
• FAA Part 107 certification (preferred, but not required).

Necessary Attributes

• Maintains high service levels even when working under pressure.
• Assumes high levels of personal accountability for the delivery of outcomes. Is action-oriented, with a focus on setting and achieving goals, and is prepared to adapt plans to ensure the right outcome is achieved.
• Collaborates actively and openly with others in order to solve problems and achieve beneficial outcomes for the business.
• Monitors delivery; identifying, managing, or escalating potential risks.
• Maintains responsibility for day-to-day interaction and relationships with all project stakeholders.
• Develops a program of work and monitors activity, expenditures, and interdependencies against the plan.
• Conducts regular project reviews and incorporates learnings into live projects.
• Possesses expertise in selected relevant technology platforms and work practices.
• Identifies and raises opportunities for new products, services, and experiences to enhance value for customers.
• Possess a strong working knowledge of likely and potential risks and issues related to own area of expertise.
• Communicates with impact; manages stakeholder relationships to drive improvements that benefit the projects and Suffolk. Present as a credible and knowledgeable specialist in design, construction, VDC and emerging tech.
• Role models optimism and a positive outlook, even during difficult situations, being future-and solution-focused.

Working Conditions

While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stand; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level.

EEO Statement

Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.