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Tangram Flex is seeking a Software Technical Leader with 8+ years of experience to contribute to the design, development, and delivery of Tangram’s transformative and impactful technology to implement mission-critical software solutions. This role is a blend of high-level technical architecture and direct contributions to customer program success, requiring a leader who can guide engineering teams through the entire engineering process from program kickoff to final delivery and customer success.

What We Do: Our team and products provide solutions to enable innovators to design, develop, verify, and advance critical systems, while accelerating innovation that advances our nation's security. By accelerating delivery of critical systems, Tangram is transforming the way our nation solves complex software challenges.

POSITION DESCRIPTION/

The Software Tech Lead provides strategic and tactical technical leadership for software product design and hardware-software integration programs. You will be responsible for defining the technical vision of a program, ensuring it aligns with customer goals, and to manage and contribute to the day-to-day engineering execution to deliver performant, secure software solutions for Tangram’s customers.

JOB RESPONSIBILITIES/

Program Strategy & Kickoff:

• Technical Architecture and Strategy: Collaborate with our customers and Engineering Leadership to identify technical strategies, customer and team goals, and define deliverables to meet or exceed expectations.
• Program Kickoff and Internal Alignment: Collaborate with Program Managers (PMs) and Engineering Leadership to develop and present technical approach slides for Internal Kickoffs, communicating milestones, technical tasks, and skillsets needed to internal stakeholders and executive leadership.
• Resource Allocation: Identify necessary skillsets and time investments required to achieve program goals, working with the Director of Engineering to ensure proper team staffing.

Technical Leadership & Execution:

• Engineering Oversight: Manage a team of software developers as well as directly contribute to design, write, and test code in relevant languages (ex. C, C++, Java, Python) while maintaining high standards for code reviews and merge requests.
• Testing and Verification Leadership: Oversee the team's testing and verification strategy, including defining and enforcing quality gates, ensuring comprehensive unit, integration, and system testing, and validating that all delivered software meets the highest standards for performance, security, and customer-defined requirements.
• Technical Project Tracking: Lead the breakdown of technical work into manageable Epics, Milestones, and Issues, ensuring progress is delivered successfully.
• Mentorship: Innovate and mentor a team of engineers, leading them on top of tech trends (e.g., DevSecOps for embedded) and fostering a culture of continuous learning.

Customer Engagement & Growth:

• Technical Partner: Act as the Subject Matter Expert (SME) point of contact for customers in articulating technical requirements, outlining technical expectations, and leading high-stakes customer demonstrations.
• Tangram Solutions Alignment: Identify opportunities to utilize Tangram products in conjunction with new and existing technology to create solutions for our customers
• Business Expansion: Provide technical feasibility inputs to the Growth team and Portfolio Managers to shape follow-on opportunities, develop technical proposals, and contribute to the "Future Phase" strategy for customer relationships.

DESIRED SKILLS & EXPERIENCE

Required Skills:

• Education: BS in Computer Engineering, Computer Science, or Electrical Engineering or equivalent.
• Experience: 8-10+ years in software product development with a strong focus on embedded systems and software integration.
• Leadership: Proven experience in a technical leadership role (e.g., Tech Lead, Chief Engineer, or Principal Investigator) managing full-lifecycle delivery to programs.
• Technical Mastery: High-level C/C++ skills, proficient in software architecture design, ability to resolve ambiguities of requirements, deliverables, and presentation approach
• Clearance: Current/recent U.S. Government Security Clearance (or ability to obtain one). U.S. Citizenship is required.
• Communication: Strong skills in communicating technical concepts with technical and semi-technical audiences

Preferred Skills:

• MS/PhD in Computer Engineering or related field.
• Expertise in Python, Rust, or Java.
• Experience with GitLab CI/CD and agile-based project tracking .
• Technical experience working in support of the Department of Defense/Department of War or the Defense Industrial Base.

Physical Requirements:

• Ability to travel to client sites, conferences, and lab environments.
• Visual and auditory acuity to participate in meetings and customer demonstrations.
• Ability to handle and transport demo equipment (up to 25 lbs).

WHY JOIN TANGRAM FLEX?

• Team First Culture: Supportive environment headquartered in Dayton, Ohio with hybrid work options and flexible hours.
• Growth-Oriented: Opportunities for internal and external technology community participation and leadership.
• Full Benefits: Employer-paid Medical/Dental/Vision, generous PTO, and competitive 401K match.

Tangram Flex is an Equal Opportunity Employer, and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its application procedures and in accordance with federal law. All qualified candidates will receive consideration for employment based on business needs, job requirements, and individual qualifications.

EEO/AA Vet/Disabled Employer/ and E-Verify

The opportunity

Unity's Vector AI team sits at the intersection of large-scale machine learning and real-world impact: our models govern ad ranking and bidding decisions across billions of daily impressions. Get the models right so players can discover games they love.

We're looking for an Applied Scientist with experience on user understanding, sequence modeling, and/or conversion prediction.

What you'll be doing

• Design and ship user behavior models that directly influence ad ranking, bidding, and conversion outcomes across billions of impressions.
• Own model quality from deployment onward: calibration, drift detection, and feedback loop management.
• Shape how the team builds, contributing to long-term technical strategy and overseeing engineering execution.
• Bridge the gap between ML complexity and business reality, communicating clearly with non-technical partners.

What we're looking for

• Ph.D. in Computer Science, Machine Learning, Statistics, related fields, or equivalent practical experience.
• 2+ years of hands-on experience designing, building, and operating ML systems at scale in ads, search, recommendations, or related domains.
• Deep familiarity with at least one of: CVR/CTR prediction, auction theory, user modeling, or sequential recommendation.
• Production experience in Python and at least one systems language (Go, Scala, C++, or similar).
• Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar.
• Knowledge of metric design, experimentation methodologies, and large-scale data.

You might also have

• Experience with real-time bidding systems, auction dynamics, or marketplace optimization.
• Publications or patents in relevant areas.

Additional information

Relocation support is not available for this position

Benefits

At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at

At Franklin Templeton, we're advancing our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that's both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we provide opportunities to help you reach your potential while helping our clients reach theirs.

Come join us in delivering better outcomes for our clients around the world!

The Investment Risk Team serves as the independent second line of defense for U.S. investment risk programs, providing effective risk oversight across liquidity, derivatives, and counterparty risk, ensuring strong governance and regulatory compliance. The team partners closely with investment, compliance, and governance stakeholders to provide credible challenge, strategic insight, and protection of investors and the firm. Joining this team offers exposure to senior leadership, regulatory engagement, and the opportunity to shape firmwide risk frameworks.

How you will add value as an Investment Risk Director:

• You will own the Liquidity Risk Management Program under SEC Rule 22e-4.
• You will oversee liquidity risk globally across registered investment funds and institutional accounts
• You will provide secondary oversight of derivatives risk under SEC Rule 18f-4, applying leadership and strategic thinking to guide the organization's approach.
• You will drive counterparty and credit risk initiatives that strengthen risk management frameworks and ensure their alignment with broader organizational goals
• You will establish integrated investment risk governance and escalation processes.
• You will shape strategic investment risk priorities and regulatory alignment.
• You will deliver clear risk reporting to senior leaders and governance bodies.
• You will represent Investment Risk in firmwide committees and working groups.
• You will manage regulatory examinations and remediation efforts.
• You will lead, mentor, and develop Investment Risk team members.
• You will advance risk data, analytics, and reporting capabilities.

What will help you be successful in this role:

Experience: 15+ years in investment management or financial services; experience in credit, liquidity, or investment risk functions; strong knowledge of U.S. SEC investment risk regulations

Education & Certifications: Bachelor's degree in a quantitative or finance-related discipline; CFA or FRM designation preferred

Soft Skills: Clear and confident communicator; strong analytical judgment and attention to detail; ability to lead independently and influence stakeholders

Technical Skills: Experience with VBA, R, or Python; experience using Power BI or Tableau; strong SQL skills for data analysis; familiarity with Bloomberg LQA, MSCI Barra, FactSet, or Aladdin

Work schedule & location: This is a hybrid role based in Baltimore, Fort Lauderdale, Boston, or NYC, combining in-office collaboration with remote work flexibility.

Franklin Templeton offers employees a competitive and valuable range of total rewardsmonetary and non-monetarydesigned to support their well-being and recognize their time, talents, and results. Along with base compensation, employees are eligible for an annual discretionary bonus, a 401(k) plan with a generous match, and recognition rewards. We also offer a comprehensive benefits package, which includes a range of competitive healthcare options, insurance, and disability benefits, employee stock investment program, learning resources, career development programs, reimbursement for certain education expenses, paid time off (vacation / holidays / sick / leave / parental & caregiving leave / bereavement / volunteering / floating holidays) and a motivational wellbeing program. We expect the annual salary for this position to range between $175,000 - $220,000, depending on location and level of relevant experience, plus discretionary bonus.

Our culture is shaped by the variety of perspectives and experiences brought by talent from around the world. Regardless of your interests, lifestyle, or background, there's a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.

By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life's adventures, taking care of your family members, or making a positive impact in your community, we aim to have your needs covered. Learn more about the wide range of benefits we offer at Franklin Templeton.

Highlights of our benefits include:

• Three weeks paid time off the first year
• Medical, dental and vision insurance
• 401(k) Retirement Plan with 85% company match on your pre-tax and/or Roth contributions, up to the IRS limits
• Employee Stock Investment Program
• Tuition Assistance Program
• Purchase of company funds with no sales charge
• Onsite fitness center and recreation center*
• Onsite cafeteria*

*Only applicable at certain locations

Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to . In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.

Senior Analytics Engineer

Overview

A rapidly growing consumer products company is seeking a Senior Analytics Engineer to help build and scale a modern data platform. This role sits at the intersection of analytics engineering, data infrastructure, and business intelligence, enabling teams across the organization to make data-driven decisions.

The company operates a U.S.-based manufacturing environment and a strong direct-to-consumer ecommerce platform. As the organization continues to scale, the data function is being built from the ground up, creating an opportunity for a hands-on engineer to shape the architecture, pipelines, and analytics capabilities of the business.

Responsibilities

Data Platform Development

• Build, maintain, and optimize data models using SQL and DBT
• Support migration and development of a centralized data warehouse environment
• Design scalable data architecture and transformation layers
• Improve reliability, performance, and maintainability of analytics infrastructure

Data Pipeline Engineering

• Develop and maintain ETL/ELT pipelines using modern data tools
• Expand and optimize ingestion pipelines from operational systems
• Write custom workflows and integrations using Python
• Ensure data quality, monitoring, and pipeline stability

Business Intelligence & Analytics

• Develop and maintain dashboards and reporting solutions
• Enable self-service analytics for business teams
• Work directly with stakeholders to translate business needs into data solutions
• Support analytics across key functions including:
• Supply chain
• Ecommerce performance
• Marketing analytics
• Sales performance
• Forecasting and operations

Data Governance & Reliability

• Establish trusted datasets and consistent data definitions
• Improve data documentation and discoverability
• Troubleshoot data issues and analytics requests across teams
• Ensure long-term scalability of the analytics ecosystem

Required Qualifications

• 4+ years of experience working with SQL
• 4+ years of experience using DBT
• 4+ years of experience building dashboards and BI solutions
• Experience building and managing data pipelines and ETL workflows
• Strong understanding of data warehousing concepts
• Ability to work independently in a fast-paced, evolving environment
• Strong communication skills and experience collaborating with non-technical stakeholders

Preferred Qualifications

• Experience working with BigQuery
• Experience building dashboards in Looker
• Python for data workflows or ingestion pipelines
• Experience with ecommerce analytics
• Experience analyzing Shopify or similar commerce platforms
• Experience working with manufacturing or supply chain data

Ideal Candidate Background

Strong candidates often come from:

• Ecommerce organizations
• Manufacturing companies
• Businesses operating direct-to-consumer sales models
• Mid-sized companies where individuals have broad ownership of the data stack

Experience analyzing

• Ecommerce sales performance
• Supply chain operations
• Marketing attribution
• Product and operational data

Work Environment

• Hybrid work model with 2–3 days per week in office
• Collaboration with a small technical team including IT and data science
• Fast-paced environment with significant opportunity to influence the company's data strategy
• High level of autonomy and ownership over technical solutions

What We're Looking For

• Curious and evidence-driven
• Comfortable working with ambiguity
• Self-directed and proactive
• Passionate about learning new technologies
• A strong problem solver who enjoys building scalable systems

About VIVIO

VIVIO Health, a Public Benefit Corporation, is revolutionizing pharmacy benefits management through data and technology. Our foundational principle - "The Right Drug for the Right Person at the Right Price" - drives everything we do. Since 2016, our evidence-based approach has delivered superior health outcomes while reducing costs for self-insured employers and health plans. By ensuring each patient receives the most appropriate medication for their specific condition at a fair market price, we're replacing the obsolete PBM Model with innovative solutions that work better for everyone.

Why Join VIVIO?

• Innovation: Challenge the status quo and shape healthcare's future
• Impact: Directly influence patient care and help change healthcare delivery
• Collaboration: Work with passionate teammates dedicated to making a difference
• Culture: Enjoy autonomy and reliability in a micromanagement-free environment
• Growth: Expand your opportunities as we expand our business 

Job Description

Position Overview 

We are seeking an exceptional developer with robust Python skills to join our team. You will play a crucial role in building complex business operations logic. You should have a proven track record of building high-quality software, solving complex problems, and thriving in collaborative environments. Experience in regulated cloud environments like HIPAA or PCI is a plus. We expect a self-motivated individual who thrives in a collaborative environment and shares our commitment to enhancing the cost and quality of healthcare. If you're ready to make an impact, we want to hear from you! 

Location: Hayward, CA. This is a Hybrid role with a minimum of 3 in-office days.

Technical Stack:

• Languages: Python, PHP
• Databases: MySQL
• Infrastructure: AWS or other Cloud experience, CICD

Core Responsibilities:

• Design and develop scalable services and core libraries.
• Develop batch processing jobs for data imports, reporting, and external integrations.
• Build and maintain transaction processing systems with complex business rules.
• Integrate third-party APIs and normalize data across multiple healthcare providers.
• Implement HIPAA-compliant data handling, logging, and audit systems
• Write comprehensive tests with proper mocking and maintain CI/CD pipelines.
• Foster best practices in a lean startup setting through code reviews.
• Promote knowledge sharing to build a collaborative culture.
• Optimize architectures and designs through deep understanding of business processes
• Ensure operational excellence through monitoring, documentation, and deployment automation.

Qualifications

Required Qualifications: 

• 5+ years of development experience with production systems
• BS or advanced degree in an engineering discipline or equivalent experience 
• SQL database design and optimization
• Test-driven development and mocking strategies
• Experience with data processing

Preferred Qualifications:

• REST API design and integration experience
• FastAPI or similar framework experience
• CRM customization experience
• ETL pipelines and Batch processing systems experience
• Job orchestration frameworks experience
• File-based and distributed storage systems
• Healthcare/pharmacy technology background
• Strong understanding of building software in regulated environments & security standards such as PCI DSS, ISO 27001, HIPAA, and NIST. 

Other expectations: Hybrid work arrangement with work from office 3 days a week.

Additional Information

Compensation and Benefits:

• Base Salary: $120-$140K/year 
• Bonus Eligible 
• Health benefits, including Medical, Pharmacy, Dental, Vision, and Life insurance   
• Stock Options 
• 401K and company match 
• PTO   
• Opportunity to work for a growing and innovative company.   
• Dynamic and collaborative work environment.   
• The chance to make a real impact with a Public Benefit Corporation. 

VIVIO Health is an Equal Opportunity Employer. All information will be kept confidential according to EEO guidelines. 

Please be advised that job opportunities will only be extended after a candidate submits a completed job application and goes through our interview process, including 1:1 and/or group interviews via phone, video conferencing, and/or in-person. All legitimate correspondence from a VIVIO employee will come from our Smart Recruiter Applicant Tracking System "@ " or "@ " email accounts.

Ready to shape the future of work?

At Genpact, we do not just adapt to change—we drive it. AI and digital innovation are redefining industries, and we are leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that is shaping the future, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implementdata, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Senior Manager, Commercial/ Payer Analytics with Market access experience

We are seeking seasoned Senior Manager Experience in pharmaceutical and life sciences analytics, with proven expertise in Anonymous Patient-Level Data (APLD),Xponent, Plantrak & formulary access data. This leadership role demands a balance of strategic vision, deep technical acumen, and cross-functional influence. The ideal candidate will drive advanced analytics initiatives that support marketing and commercial excellence strategies, while leading global delivery teams and shaping stakeholder alignment across business units.

Responsibilities

• Lead strategic analytics initiatives across pharmaceutical, Value & Access, and healthcare payer/provider domains.
• Apply machine learning techniques to structured and unstructured data to enhance patient stratification, drive Sales and health outcomes.
• Develop analytical and statistical solutions to improve efficiency and drive innovations using Generative AI.
• Lead the development of U.S. market access strategies across therapeutic areas including formulary positioning, pricing, and reimbursement.
• Partner with global teams to align value messaging with regional payer and RAE/KAM expectations.
• Conduct and interpret advanced analytics to support decision-making on promotional strategies and effectiveness (e.g., ROI, A/B testing, campaign performance).
• Lead the Health System engagement by generating valuable insights for RAE/KAM teams.
• Able to handle complex statistical analysis to measure the effectiveness of certain campaigns and help in monitoring VCOs/KAM/NAD/NAM performance.
• Data Analysis: Leverage data analytics tools to analyze market trends, track sales performance, and provide actionable insights to sales teams.
• Design and execute test-control methodologies and statistical procedures to evaluate marketing campaign success.
• Lead predictive analytics projects including segmentation, profiling, and targeting strategies.
• Functionally and directionally lead an offshore analytics team while maintaining individual contributor responsibilities.
• Act as a strategic consultant to stakeholders, translating business needs into analytical solutions and actionable insights.
• Collaborate with data engineering and source data teams to address data quality and timing issues.

Qualifications we seek in you!

• Bachelors in Pharma/Technology/BE.
• Experience in U.S. healthcare analytics, including pharmaceuticals, biotech, or payer/provider systems.
• Machine learning and statistical modeling knowledge (e.g., XGBoost, Random Forest, NLP, deep learning).
• Knowledge on GenAI.
• Proficient in Python, SQL.
• Strong knowledge of U.S. healthcare datasets: Medicare/Medicaid, commercial claims, EMR systems, Sales & Commercial data sets in healthcare etc.
• Solid grasp of healthcare economics, policy frameworks, and regulatory constraints.

Preferred Qualifications/ Skills

• Knowledge of Spark, and data visualization tools (Power BI, Tableau) and R is preferred.
• M.Sc./M.Tech./M.Pharm
• Excellent MS Office Skills.
• Strong analytical, problem-solving skills, and technical aptitude.
• Expert verbal and written communication skills.
• High degree of energy & execution and client connect experience is a “Must”.
• Ability to work in a global environment.
• Proven work experience as a team leader or supervisor.
• Good analytical and problem-solving skills.
• Good accounting concepts.
• Good interpersonal skills.

Why join Genpact?

• Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation.
• Make an impact – Drive change for global enterprises and solve business challenges that matter.
• Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities.
• Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day.
• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress.

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.

Let us build tomorrow together.

The approximate annual base compensation range for this position is $150,000 to $160,000. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity.

Location-based Roles Danbury, CT area candidates are eligible for this role only.”

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Join Our Mission to Bridge the Digital Divide - Through AI!

Position: Programs Manager (AI Curriculum - Higher Ed) - Austin, Texas (Hybrid or Remote)

Salary Range: USD 55,000 - 75,000 annually (with a 3-month probation)

Location: Preference for Austin, Texas; remote possible

Travel: Occasional travel required with reasonable notice and accommodations

About Us

Sustainable Living Lab USA (SLL LLC USA) is part of a global movement, HQ in Singapore, offices in India, Indonesia, Japan, and the USA, to make technology inclusive, accessible, and sustainable. We design and deliver innovative education programs that equip learners with essential digital and AI skills - from US community colleges to grassroots organizations worldwide.

About the Role

We’re seeking a dynamic, articulate, and adaptable Programs Manager (AI Curriculum for HigherEd)to support the global expansion and US localization of our AI education programs.

This role involves delivery, curriculum creation, and program development, ideal for someone confident in discussing AI with non-technical audiences, passionate about learning, and eager to influence AI upskilling’s future. You’ll lead technical Train-the-Trainer (TTT) sessions with professors from community colleges and universities both virtually and in-person helping them develop/integrate technical AI concepts as part of their certifications/degrees.

This role blends delivery, curriculum design, and program development, ideal for a flexible, self-motivated individual with a growth mindset who thrives in ambiguous environments, constantly finding solutions to new problems.

Key Responsibilities

1. AI Programs Training & Facilitation (TTT Model)

• Lead virtual and in-person technical Train-the-Trainer (TTT) workshops across US, supporting partners in vocational education and workforce institutions worldwide.
• Ensure participants understand the content and are equipped to customize it for local contexts and learner needs.
• Develop and implement standardized training regimens and SOPs tailored for cross-cultural, regional, and state-wide implementation partners.
• Translate core AI, ML, DL, and Python concepts into engaging, beginner-friendly lessons sensitive to language diversity and digital fluency levels - but also able to deliver technical concepts like Maths for AI, Data science, and Agentic AI topics in depth.
• Conduct engaging and informative training sessions utilizing a standardized curriculum.

2. US Programme & Business Development (SMEs, Colleges, Universities, K12, communities)

• Manage the continuity and expansion of SLL's US programs, particularly within its extensive network of 140+ community colleges and universities spanning 40+ states.
• Work with the team to position SL2 as a leading partner in AI and emerging tech education for the US community college and vocational sector.
• Scale educational programs with school districts, community colleges, and universities, focusing on out-of-school programs and boot camps.
• Scale AI Community Engagements with clubs, societies, and foundations.
• Identify and articulate compelling use-case stories for workforce development partnerships.
• Support engagements with colleges, government agencies, and employers to co-develop bespoke AI education pathways.

3. Content Development and Productization

• Collaborate with internal teams to evolve and update existing programs and co-create new offerings.
• Lead the creation of slide decks, training decks, and other content as a core part of the role.
• Contribute to productizing key experiential learning offerings such as hands-on coding challenges and platform-based simulated work experiences.
• Help localize material for US-based institutions, aligning with skills frameworks and employer demand.
• Co-deliver experiential coding/skilling events, ensuring the core product is designed for global scalability and is adaptable to various educational levels, including tailoring project focus for different competitions for community college and university students.

What We're Looking For

• HigherEd/SME Training Experience: Minimum of 3 years in Higher Ed, training, or facilitation working with HigherEd/SMEs, including at least 2 years focused on technical or digital skills. Experience working across cultures and time zones is highly valued.
• Tech & Learning Aptitude: Intermediate to high knowledge of Python and AI/ML/DL/Agentic AI/Maths for AI/Data concepts. Strong personal interest in the evolving AI landscape and comfort with explaining complex topics to beginners. Experience or enthusiasm for Vibe Coding, digital hackathons, or collaborative prototyping is a plus.
• Communication & Facilitation: Fluent, clear-spoken English and strong public speaking skills. Able to adjust tone, pace, and clarity based on audience (e.g., teachers vs. college professors vs. workforce leaders). A strong presence on MS Teams/Zoom or in person - whether running a classroom session, hackathon, or partner presentation.
• Mindset & Tools: Adaptable, self-motivated, and collaborative. Skilled in using tools like Zoom, Google Workspace, and Teams, and eager to learn new platforms and facilitation techniques.
• Location & Eligibility: Preference for candidates based in Austin, TX, but open to strong remote applicants. Must be authorized to work in the US.

Why Join Us?

• Make Global Impact: Empower teachers and workforce educators across continents to teach AI confidently and contextually.
• Shape the Future of the US Workforce Skilling: Co-create impactful AI programmes for colleges and workforce partners across the US.
• Creative & Collaborative Culture: Work with a mission-driven team that values experimentation, equity, and lifelong learning.
• Featured Benefits: Medical insurance (100% employer contribution), 14 days annual leave, 14 days medical leave, and paternity and maternity leave. We request that the candidate to have their own device.

Ready to Apply?

Send your resume and a short, authentic cover letter to with the subject line: “Programs Manager (AI Curriculum) - U.S.” Please write authentically, and use AI tools with discernment.

Please include:

• Your expected monthly salary in USD
• Your current location and time zone
• Your availability to start
• Any accommodation requests (if applicable)

SLL LLC USA is an Equal Opportunity Employer. We celebrate diversity and are committed to building an inclusive workplace. If you need accommodations during the application process, please let us know.

The Advanced Aortic Imaging for Clinical and Translational Research (AAI-CTR) lab at UW–Madison is hiring a Postdoctoral Research Associate to develop and validate next-generation imaging biomarkers for aortic disease. If you want your algorithms to change how patients are monitored and treated, not just generate papers (although there is plenty of that too), this is the role.

Why This Lab:

Our group has built several image analysis techniques that have completely changed how we view aortic disease. Specifically, vascular deformation mapping (VDM) is a technique that detects aortic deformation patterns invisible to conventional diameter measurement, and we are actively translating it from research tool to clinical product. Our work sits at the intersection of deep learning, image registration, and clinical decision-making, with active industry partnerships aimed at commercializing the methods we develop. Former trainees have moved into competitive industry positions, co-developed new IP, and gone on to train at other top-tier programs. This is a lab where technical innovation and clinical impact are not separate goals.

What You’ll Do:

Algorithm & Pipeline Development

• Design, train, and validate DL/ML models for aortic CT and MRI (segmentation, registration, shape/growth modeling, VDM pipelines).
• Build and optimize image-based pipelines for longitudinal aortic surveillance using large, multi-center datasets.
• Benchmark algorithms against clinical reference standards; lead external validation and reproducibility testing.

Clinical Translation

• Collaborate directly with cardiovascular surgeons, cardiologists, and radiologists to define clinically meaningful performance targets.
• Advance investigational tools toward real-world use: workflow integration, reliability testing, and documentation aligned with regulatory and commercial pathways.
• Apply novel analysis methods to large patient populations (UW and multi-center cohorts) to generate evidence that supports clinical adoption.

Data & Project Leadership

• Curate, organize, and manage large clinical imaging datasets and associated outcomes data.
• Mentor and collaborate with trainees across clinical, engineering, and physics backgrounds.
• Lead manuscript preparation, conference abstracts, and presentations; build your independent publication record.

Required Qualifications

• Ph.D. (or equivalent) in Biomedical Engineering, Electrical/Computer Engineering, Computer Science, Medical Physics, or a closely related quantitative field.
• Hands-on experience with medical image analysis on CT and/or MRI.
• Strong AI/DL skill set: proficiency in Python and common ML/DL frameworks (PyTorch, TensorFlow); experience training and evaluating models on large imaging datasets.
• Experience with core medical imaging tasks: segmentation, registration, or 3D model/shape analysis, transfer learning. Interest in deformation or longitudinal analysis is a plus.
• Track record of scientific productivity (peer-reviewed publications, conference papers) and strong written/oral communication.
• Genuine interest in clinical translation, meaning building tools clinicians will actually use, not just publishing methods papers.

Preferred

• Prior work with vascular or cardiovascular imaging (aorta, aneurysm/dissection, cardiac CT/MR).
• Experience with image registration or statistical shape/deformation modeling.
• Familiarity with database tools and good data engineering practices for imaging research.
• Comfort working in multi-disciplinary teams and collaborating closely with clinicians.
• Creative, independent problem-solving mindset: able to prototype, test, and iterate quickly.

Commitment & Environment

We are looking for someone who can commit to at least 18–24 months. Meaningful translational research takes time: developing a method, validating it rigorously, and publishing the results is not a short-term endeavor. In return, you will work in a highly collaborative environment spanning Radiology, Surgery, Cardiology, and Medical Physics at UW–Madison, with direct access to large clinical datasets and a PI who is invested in your long-term career trajectory.

Work Authorization

Candidates who already hold valid U.S. work authorization are preferred, including F-1 OPT and STEM OPT. We are open to sponsoring H-1B visas for exceptional candidates, though candidates who do not require immediate employer-sponsored work authorization will have an advantage given current processing timelines.

Join us and celebrate the beauty of human experience. Create for happier, healthier lives, with love for nature. Together, with our customers, we deliver food innovations, craft inspired fragrances and develop beauty and wellbeing solutions. There's much to learn and many to learn from, with more than 16,000 employees around the world to explore ideas and ambitions with.
In the USA, we develop, market and produce a wide array of solutions from our 25 most innovative sites, based across the country. Stretch your skills, create and get inspiration from passionate colleagues. Every day, your energy, your thirst for knowledge, and your creativity will shape our future, making a positive difference on billions of people. Every essence of you enriches our world. We are Givaudan. Human by nature.

Givaudan Flavors Science & Technology is looking for a Cheminformatics Scientist to join a versatile team advancing flavor ingredient discovery. You will apply cheminformatics, machine learning, and AI to develop novel aroma and taste molecules while collaborating across research teams to build data-driven discovery workflows.

Your Title: Cheminformatics Scientist

Your Location: Onsite (Givaudan facility)

You Will Report To: Flavors Science & Technology Computational Sciences Lead

Responsibilities

• 
  
• Design and implement cheminformatics algorithms and workflows to accelerate flavor ingredient discovery across aroma and taste modalities.
  
• Develop, validate, and deploy predictive models using QSAR, machine learning, artificial intelligence, and 2D/3D computational approaches for small-molecule analysis and property prediction.
  
• Apply statistical, cheminformatics, and machine learning methods to improve hit identification and hit-to-lead processes.
  
• Collaborate with chemistry and research teams to integrate AI/ML and cheminformatics into DMTA workflows.
  
• Enhance databases and computational pipelines to support data-driven research.
  
• Develop computational tools, visualizations, and analytical programs for molecular data analysis.
  
• Communicate scientific insights across teams and support collaboration.
  
• Provide mentoring and promote best practices in data integrity, reproducibility, and FAIR data principles.
  

Your Professional Profile Includes

• 
  
• PhD or Master's degree in Cheminformatics, Computational Chemistry, Chemistry, or a related discipline.
  
• Expertise in structure-based drug design (SBDD), including docking, pharmacophore modeling, virtual screening, and molecular dynamics.
  
• 3+ years of experience with ligand-based modeling (QSAR, 2D/3D virtual screening) and protein modeling (e.g., homology modeling, protein-protein docking).
  
• Data science and statistical analysis skills, including exploratory data analysis and model validation.
  
• Advanced programming skills in Python or R, plus proficiency in an additional language, following coding best practices.
  
• Experience with cheminformatics tools (e.g., RDKit, OpenEye) and molecular analysis techniques such as library enumeration, similarity analysis, clustering, and dimensionality reduction.
  
• Industry familiarity with SQL/databases, analytics tools (KNIME, Spotfire, Shiny), and NLP/LLMs in scientific contexts; relevant industry experience.
  

Compensation and Benefits

The established salary range for this position is $80,000-120,000k, depending on individual qualifications and experience. Employees receive medical, dental, and vision coverage, along with a high-matching 401(k) retirement plan.

#LI-Onsite

At Givaudan, you contribute to delightful taste and scent experiences that touch people's lives.
You work within an inspiring teamwork culture - where you can thrive, collaborate and learn from other talented and passionate people across disciplines, regions and divisions.
Every essence of you enriches our world.
Diversity of perspectives fuels innovation and fosters deeper connections with our employees, customers, and partners. At Givaudan, we are dedicated to cultivating an inclusive environment where every individual's voice is valued and has the power to shape our world. Join us in making a difference together.

Open date: March 4, 2026

Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Thursday, Mar 4, 2027 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Data Science (MIDS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of around 17 graduate students in this innovative, online program.

Courses in the MIDS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while providing valuable expertise to enhance student outcomes. Screening of applicants is ongoing and will continue as the program's needs evolve. The number of available positions may vary by semester based on the School's requirements.

Please Note:

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of data science.

If you are an enthusiastic educator or practitioner passionate about shaping the next generation of data science leaders, we encourage you to join our exceptional instructional team.

The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MIDS master's programs at UC Berkeley's School of Information.

Delivering Engaging Online Classes: Plan and lead synchronous sessions that emphasize active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts.

Facilitating Student-Centered Learning: Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs.

Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.

Providing Constructive Feedback: Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies.

Maintaining Course Operations: Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively.

Collaborating with Faculty Teams: Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals, initiatives, and effective online teaching pedagogy.

Advancing Online Pedagogy: Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience.

Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.

Please note:

The use of a lecturer pool does not guarantee that an open position exists. See the review date in AP Recruit to learn whether the school is reviewing applications for a specific position. If no future review date is specified, your application may not be considered at this time.

UC Berkeley has several policies and programs to support all employees as they balance work and family.

Program:

Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources

Course Descriptions: courses/datasci

A bachelor's degree (or equivalent international degree).

Minimum 4 years of professional experience in the relevant field.

Minimum 2 years of experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.

An advanced degree in Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related field.

10 + years of professional experience in fields such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields.

Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction.

Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.

Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.

Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.

Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.

Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.

Teaching or in-depth knowledge and experience in at least one of the following core areas (please see course descriptions):

• 
  
• Applied Cloud Computing for Data Science
  
• Applied Machine Learning
  
• Applied Statistics(R)
  
• Capstone Projects - real-world projects and industry collaboration
  
• Computer Vision
  
• Data Visualization and Communication
  
• Deep Learning and Neural Networks
  
• Edge and IoT Data Science
  
• Experiments and Causal Inference
  
• Fundamentals of Data Engineering
  
• Generative AI
  
• Introduction to Data Science Programming (Python)
  
• Leadership in Data-Driven Transformation
  
• Machine Learning at Scale
  
• Machine Learning Systems Engineering
  
• Natural Language Processing with Deep Learning
  
• Privacy, Security, and Ethics in Data Science
  
• Regression and Time Series Analysis
  
• Research Design and Data Analysis
  
• Scalable Data Mining and Analysis
  
• Statistical Methods for Discrete Response, Time Series, & Panel Data
  
• Special Topics such as: AI for Sustainability, Autonomous Systems and Robotics, Data, Human-Centered Data Science, Spatial Data Science, Time-Series Analysis and Forecasting
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This can include, for example, fostering student success, connecting theory to practice, advancing an inclusive learning environment for all students, facilitating student-centered learning, or providing practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.

  
  
  

  The statement should highlight areas of expertise and any experience with online or technology-enhanced teaching.

  
  
  

  Please indicate which class(es) you believe you are qualified to teach.

  
  

• Teaching Evaluations, if available (Optional)

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment