Upscale Ai Image Free Jobs in Usa

Kelly Government Solutions has an opening for a Biomedical AI Imaging Scientist to support the Integrated Research Facility at the National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) in Frederick, MD. Role is estimated to support work arrangement that is primarily on-site with flexibility for remote work if/when authorized.

This is a long-term contract position which offers:

- Competitive compensation and comprehensive benefit package

- Optional health, vision, and dental plans

- Paid leave, paid federal holidays, and 401K plan.

- Access to NIH’s unparalleled resources and niche scientific initiatives

KEY TASKS

(1) Support imaging scientists with acquisition of imaging data and conduct research as directed by NIAID involving and related to imaging and artificial intelligence in support of the Integrated Research Facility (IRF) in Frederick, MD

(2) Consult with scientific staff and NIAID leadership to ensure data meets scientific objectives; coordinate overall study logistics with other core laboratory services.

(3) Analyze and interpret imaging data from various modalities to support research studies on select agent viruses.

(4) Develop, train, and validate machine learning and deep learning models for image segmentation, feature extraction, and quantification tasks.

(5) Collaborate with the imaging team to design and implement new algorithms or modify existing ones to improve image analysis accuracy and efficiency.

(6) Generate reports and visualizations to communicate findings and trends in imaging data to researchers and stakeholders.

(7) Stay updated with advancements in AI and image analysis techniques relevant to biomedical research and apply this knowledge to enhance IRF capabilities.

(8) Work closely with the other functional area leads at the IRF to integrate imaging analysis results with other data for a comprehensive understanding of viral pathogenesis.

(9) Ensure compliance with all safety protocols and procedures while working in a BSL-4 environment.

(10) Provide guidance on experimental design and implementation and strives to quickly resolve problems; publish results in peer-reviewed journals.

(11) Communicate progress or problems with approved programs and projects to leadership.

KEY REQUIREMENTS

(1) Ph.D. in Computer Science, Biomedical Engineering, Bioinformatics, or a related field with a focus on artificial intelligence, machine learning, or image processing. Candidates possessing master’s degree and relevant experience may also be considered.

(2) Experience analyzing multimodality imaging scans, such as parametric image analysis of MRI data

(3) Strong theoretical foundations in machine learning, deep learning, and image analysis techniques with experience working with biomedical imaging data.

(4) Proficiency in programming languages such as Python, R, or MATLAB along with experience using popular deep learning frameworks like TensorFlow, PyTorch, or Keras.

(5) Familiarity with biomedical imaging data and experience working with image processing libraries such as OpenCV or ITK-SNAP.

(6) Experience with radiomic feature extraction and application to machine learning, feature selection methods such as mRMR, and working with a high-performance computing environment and GitHub repositories

Overview:

Himax Technologies is on the lookout for an experienced Pixel Design Engineer to join our Advanced R&D team in Irvine, California. If you have the right skill set, are detail-oriented with excellent problem-solving and analytical skills and have effective communication skills and the ability to work collaboratively within a team. We would like to hear from you.

This is an in-person position at our Irvine office.

Responsibilities:

This role will participate in new pixel designs and improvements of existing pixels by working closely with other design teams. This position is responsible primarily for pixel layouts including front-end, back-end and optical structure.

> Skillful and creative on optimizing pixel layout based on:

• Process flow information
• Layout design rules
• Pixel timing constraints and noise analysis
• Signal interferences analysis inferred by Capacitance extractions

> Pixel array composition, including:

• Implementing the floorplan of a pixel array
• DRC and LVS verifications on whole pixel array
• The layouts of dark pixel reference and other special pixels
• Interfaces with readout and pixel driver circuits
• Optical structure extensions beyond the active array boundaries

> Optical Design:

• Optimize optical structure layout shifts to accommodate image height dependent module lens CRAs

Requirements:

• Bachelor's degree with 10+ years or Master's degree with 7+ years of hands-on experience with CIS pixel layout
• Masterful on IC layout related EDA tools and layout parasitic capacitance extraction EDA tools
• Knowledgeable about typical physics, basic timing and operation principles of CIS pixel
• Medium level programming skills.

Preferred Experience:

• Background is Electrical Engineering, Physics or Photonics.
• Familiar with CMOS image sensor process integration, device physics and optics are good pluses.

Salary Range

• $120,000- $180,000 (DOE)

The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role.

Location: Irvine, CA (on-site)

Senior Applied AI Engineer (End-to-End ML)

Location: Palo Alto, CA (Hybrid )

Role Type: Full-Time / Permanent

Summary

Our client, a pioneering HealthTech AI firm in the Bay Area, is seeking a high-calibre Applied AI Engineer to bridge the gap between advanced Machine Learning and robust Software Engineering. This is an end-to-end ownership role: you will be responsible for designing the logic, building the architecture, and deploying the final services.

Core Responsibilities

• Architect AI Workflows: Design and implement sophisticated agentic workflows and automation sequences that power clinical decision-making.
• System Design & Integration: Build the backend infrastructure, scalable REST APIs, and data services required to support high-concurrency AI applications.
• Rapid Deployment: Maintain a high-velocity shipping cycle, moving from prototype to production-grade implementation in days.
• Model Orchestration: Select, fine-tune, and evaluate the performance of various LLMs (including OpenAI, Anthropic, and open-source models) for specific healthcare tasks.
• Full-Stack ML: Own the pipeline from data ingestion and time-series forecasting to real-time classification and model monitoring.

Technical Profile

• Computer Science Mastery: Expert knowledge of algorithms, data structures, and distributed systems.
• Software-Heavy Background: Professional-grade Python skills. You should be comfortable with software design patterns, testing, and CI/CD.
• Machine Learning Fundamentals: * Deep understanding of Core ML topics: classification, regression, and clustering.
• Specific experience in Time Series Forecasting and temporal data analysis.
• Proficiency in Generative AI: RAG architectures, prompt optimization, and agent frameworks.
• Infrastructure: Experience deploying services to cloud environments (GCP preferred) and a solid grasp of MLOps and pipeline automation.
• Education: BS in Computer Science or related field + 4 years of experience, or an MS + 2 years of experience.

Cultural Fit

• Startup Agility: You possess the "scrappiness" to solve problems with limited resources but the rigor to ensure those solutions are enterprise-grade.
• The "Generalist" Mindset: You enjoy working across the entire stack and are not afraid to dive into data engineering or infrastructure when needed.
• Mission-Oriented: You are motivated by the prospect of using AI to significantly improve patient outcomes and healthcare efficiency.

What’s Offered

Our client provides a highly competitive package, including a strong base salary, meaningful equity, and comprehensive premium healthcare benefits. You will join a world-class team of engineers in a collaborative, hybrid environment.

Senior Applied AI Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
• You will report directly to senior leadership and work closely on technical direction
• Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
• You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Applied AI Scientist will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
• Experience working in a scaling startup is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps exposure with CI/CD pipelines preferred
• History of working on models from concept to production / end-to-end / 0-1
• Applied research background in a commercial setting required
• Publication and/or patent history highly preferred
• Experience in settings wearing multiple hats
• Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
• History of partnering with non-technical stakeholders required
• Experience owning projects
• PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.

ESSENTIAL DUTIES AND RESPONSIBILITIES

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.

• Design and build AI-powered applications using Large Language Models (LLMs) for enterprise use cases.
• Develop Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data such as documents, manuals, tickets, ERP data, and knowledge bases.
• Build and orchestrate AI agents that can reason, plan, and interact with tools, APIs, and workflows.
• Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, access control, and output validation.
• Work with multimodal AI models including text, image, and video use cases such as video analysis, summarization, and optimization.
• Integrate AI solutions with existing enterprise systems such as Salesforce, ERP platforms, data lakes, APIs, and internal applications.
• Partner with security and compliance teams to ensure responsible AI usage, data privacy, and governance.
• Prototype quickly, then harden solutions for production with monitoring, logging, evaluation, and performance optimization.
• Mentor and upskill existing developers on AI concepts, patterns, and best practices.

Required Skills & Experience

• 5+ year of full stack development experience.
• Strong software engineering background with experience building production-grade applications.
• Hands-on experience with modern LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or similar.
• Practical experience building RAG pipelines using vector databases and embedding models.
• Experience with prompt engineering, prompt versioning, and evaluation techniques.
• Solid Python experience for AI development.
• Experience integrating AI services with REST APIs, microservices, and cloud-native architectures.
• Familiarity with cloud platforms such as AWS or Azure, including deployment, scaling, and security concepts.
• Understanding of data formats such as JSON, XML, and document-based data.
• Ability to translate business problems into AI-driven technical solutions.

Preferred Qualifications

• Experience with vector databases such as Pinecone, FAISS, Weaviate, or similar.
• Familiarity with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent orchestration tools.
• Experience implementing AI safety controls, policy enforcement, and evaluation frameworks.
• Exposure to video or image models and multimodal AI use cases.
• Experience working in enterprise environments with security, compliance, and change management considerations.
• Prior experience mentoring or leading developers in new technical domains.

What We Offer

At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:

• Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.

• Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.

• Time for You: Paid holidays, vacation time, and personal/sick days each year.

Join us and build a career where you're supported - at work and beyond.

Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.

Chef de Cuisine and Sous Chef – Upscale Mediterranean Restaurant

$80,000 - $110,000 + Bonus

Join this local restaurant group as the Chef de Cuisine or Sous Chef, responsible for overseeing culinary operations of this Mediterranean upscale restaurant, complete with excellent benefits, salary, and career growth opportunity.

COMPANY:

• Local restaurant group with 4 concepts and growing!
• Strong leadership with clear direction
• Highly skilled and experienced team with very low management turnover

BENEFITS & FEATURES:

• Medical, Dental, Vision, and Life Insurance
• Great, well-functioning management team
• Outstanding cuisine you can be proud of
• Highly competitive salary
• 2 weeks paid vacation
• Bonus potential

YOUR ROLE WITH THE COMPANY:

The Chef de Cuisine is responsible for managing all culinary operations of the restaurant. Primary duties and responsibilities include:

• Oversee all daily back-of-house operations, ensuring seamless execution of prep, service, and kitchen performance
• Maintain exceptional standards of food quality, presentation, and consistency across all menu offerings
• Support seasonal menu development and culinary innovation in alignment with the restaurant’s Mediterranean concept
• Lead, train, and inspire the culinary team, creating a collaborative and high-performance kitchen culture
• Manage the execution of private events and group dining by ensuring strong culinary preparation, organization, and service standards
• Direct scheduling, labor management, and food costing to drive efficiency and support profitability
• Ensure full compliance with sanitation, safety, and health department standards while maintaining an organized kitchen environment
• Lead by example with a hands-on presence during service, supporting the line and driving execution at a high level

The Sous Chef is responsible for assisting in managing culinary operations of the restaurant. Primary duties and responsibilities include:

• Support culinary leadership in leading back-of-house operations, ensuring smooth execution of service and day-to-day kitchen performance
• Contribute fresh culinary ideas that help evolve and modernize menus, food offerings, and overall kitchen programming
• Lead by example in a hands-on capacity, working the line alongside the team while maintaining consistency, urgency, and excellence in execution
• Oversee food quality, presentation, and plate consistency to ensure every dish meets high culinary and guest experience standards
• Assist in menu development by incorporating seasonal, high-quality ingredients and contributing to creative, market-driven dishes
• Manage kitchen scheduling, labor deployment, and food costing to support operational efficiency and financial performance
• Train, mentor, and motivate kitchen team members while fostering a collaborative, accountable, and high-performing work environment

BACKGROUND PROFILE:

• Chef de Cuisine: 3+ years of experience as a Chef de Cuisine for a high volume ($8M+) upscale full-service restaurant
• Sous Chef: 2+ years of experience in a Sous Chef, Kitchen Manager, or other culinary leadership role in an upscale or high-volume restaurant environment
• Strong knowledge of food costing, labor management, and scheduling, with the ability to support both quality and profitability goals
• Background in Spanish, Italian, or Mediterranean cuisine strongly preferred
• Ability to thrive in a fast-paced environment while maintaining composure, organization, and high standards of execution
• Passionate about hospitality, highly energetic, and detail-oriented, with a commitment to excellence in both food and guest experience

EOE – EQUAL OPPORTUNITY EMPLOYER

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

Role Summary

Lead the strategy, platform build-out, and adoption of AI/ML across Research for global digital transformation effort, making AI agents, models, and tools a daily, accessible part of wet‐lab and dry‐lab scientists' workflows. Translate AF priorities into a practical, compliant AI services layer—data foundations, MLOps, agentic assistants, model governance, and change enablement—that shortens time from experiment to insight and elevates decision quality across discovery programs.

Objectives / Purpose

• Define and execute a multi‐year AI/ML roadmap aligned to Research use cases and KPIs.
• Establish an AI‐ready data foundation (FAIR-by-design) and scientist‐facing AI tools embedded in ELN/LIMS/instrument workflows.
• Institutionalize Responsible AI & GxP-aware governance for production models.
• Drive adoption through super-user networks, training, and change management to achieve measurable value and ROI.

Scope / Impact

Global Research scope with cross‐site collaboration (US/EU/JP). Direct impact on data-to-decision latency, assay/analysis reproducibility, and portfolio productivity. Partner with operations, Computational Sciences & Data Strategy, IT, function leads, and platform teams to deliver outcomes at scale.

Accountabilities

Strategy & Roadmap

• Own Research's AI/ML strategy and sequencing (MVP → scale) across wet‐lab dry‐lab integration and self‐service tools.
• Align priorities with Research's KPIs and portfolio goals; establish and monitor achievement of success criteria and milestones.

Platform, Data & Integration

• Guide the development of AI‐ready data foundations (provenance, metadata/ontologies, harmonization) across ELN/LIMS, instruments, imaging, and omics.
• Integrate platforms (e.g., ELN, SDMS & AI Cloud) to liberate, contextualize, and operationalize lab data for AI/ML.
• Stand up modern MLOps (CI/CD, registries, experiment tracking, monitoring) and secure service/APIs embedded in workflows.

Agentic AI & Productization

• Design self-service and user-friendly processes for deployment of AI agents for scientists (literature triage, protocol assist, data QC, analysis pipelines, code helpers).
• Guide engineering efforts to deliver production models (e.g., sequence/structure prediction, assay QC, outlier detection, multimodal analytics).

Adoption & Change Enablement

• Lead adoption via super‐user networks, training, and communications; co‐own readiness plans with NCSP.
• Work with Change Management leads to publish playbooks and guardrails enabling self‐service AI workflows for scientists.

Governance, Risk & Compliance

• Define and Implement Responsible AI and risk‐based governance (ALCOA+, validation mindset, audit trails, XAI, privacy/PII controls).

Impact & Reporting

• Own measurable impact (adoption, latency, reproducibility, ROI) and provide transparent reporting to R&D leadership and key stakeholders.

Qualifications

Required

PhD degree in a scientific discipline with 10+ years experience , or

MS with 16+ years experience, or BS with 18+ years experience (preferably in Advanced degree in Computer Science, AI/ML, Computational Biology/Chemistry, Bioinformatics, or related; or equivalent industry experience.)

Proven MLOps platform build and delivery of scientist‐facing AI tools embedded in ELN/LIMS/instrument workflows.

Expertise in FAIR data, scientific data models/ontologies, and integration across wet‐lab instruments, imaging, and omics.

Experience with Responsible AI and GxP‐adjacent validation/governance in pharma/biotech R&D.

Strong stakeholder management; ability to translate complex science/data into usable AI for end users.

Preferred

• Experience working in wet-labs and knowledge of Research and Development workflows and processes in either the biologics and/or small molecule fields
• Agentic AI systems and LLMs for scientific contexts; multimodal ML (text/images/sequences/numerical).
• Knowledge of Research/Pharma Sci common data models and cloud analytics/HPC integrations.

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 Scientists to develop and deploy foundational AI models that will transform drug discovery across Takeda. As part of the AI/ML Foundation team, you will build large-scale models including large language models (LLMs), diffusion models, and multimodal architectures that integrate diverse data types—omics, biomedical imaging, protein 3D structures, and molecular representations. This role requires deep expertise in modern deep learning architectures combined with foundational knowledge of biology, chemistry, and disease biology to ensure models are scientifically grounded and impactful. You will train models from scratch, fine-tune pre-trained models for Takeda-specific applications, and deploy foundation model capabilities that accelerate discovery across all therapeutic platforms.

Accountabilities:

• Develop and train foundational AI models (LLMs, diffusion models, flow-matching architectures) for drug discovery applications, with capability to pre-train on large-scale scientific corpora and molecular datasets.
• Fine-tune and adapt pre-trained foundation models (protein language models, chemical LLMs, vision transformers) for Takeda-specific applications in target identification, disease modeling, and molecular design and discovery.
• Build multimodal foundation models integrating diverse data types including omics (genomics, transcriptomics, proteomics), biomedical imaging, protein 3D structures, and molecular representations.
• Apply and extend state-of-the-art approaches including graph neural networks, transformer-based protein language models, and multimodal learning frameworks.
• Apply domain expertise in biology, chemistry, and/or disease biology to guide model architecture decisions, training data curation, and evaluation strategies ensuring scientific validity.
• Implement state-of-the-art generative architectures (diffusion, score-based models, autoregressive transformers) for molecular generation, protein design, and multi-objective optimization.
• Collaborate with computational scientists across domains to deploy foundation models that address diverse discovery needs across small molecules, biologics, and emerging modalities.
• Stay current with advances in foundation models, generative AI, and multimodal learning; contribute to internal knowledge sharing and external publications.

Education & Requirements:

• PhD in Computer Science, Machine Learning, Computational Biology, Bioinformatics, or related field or MS with 6+ years relevant experience, or BS with 8+ years relevant experience
• Deep expertise in modern deep learning architectures including transformers, diffusion models, and/or generative models.
• Strong experience training large-scale models with proficiency in PyTorch and distributed training frameworks.
• Foundational knowledge of biology, chemistry, or disease biology sufficient to guide scientifically meaningful model development.
• Experience with at least one of: protein language models (ESM, ProtTrans), molecular generative models, or biomedical vision models.
• Experience with cloud computing (AWS, GCP) and GPU cluster training at scale.

Preferred:

• Experience building or fine-tuning foundation models in pharmaceutical or life sciences settings.
• Expertise in multimodal learning integrating text, images, and structured molecular data.
• Experience with omics data analysis (genomics, transcriptomics, proteomics) and knowledge graph
• Familiarity with protein structure prediction and 3D molecular representations.
• Publications in top-tier ML venues (NeurIPS, ICML, ICLR) or computational biology journals.
• Experience with model compression, efficient inference, or production deployment of large models.
• Strong background in large-scale data integration and multimodal modeling for biological systems.
• Proficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn); familiarity with Unix tools.
• Excellent collaboration and communication skills.

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

Imaging Field Service Engineer Trainee (Entry Level)

Location: Central Iowa or Eastern Iowa (Full-time, Permanent)

Salary: $60,000 plus full benefits

About the Company:

A growing national service organization supporting healthcare providers with diagnostic imaging equipment service and support. Known for investing in people, offering structured training, and providing long term career paths with opportunities across the US.

Role Overview:

This is an entry level, training focused opportunity designed for graduates and trade school candidates who want a clear route into a Field Service Engineer career. You will learn how to install, troubleshoot, and service diagnostic imaging systems while working alongside experienced engineers. Responsibilities include supporting X-ray, CT, MRI, and mammography equipment, completing preventative maintenance and basic repairs, documenting service activity, and building strong customer relationships. Local field travel is required within your assigned Iowa region.

Key Requirements:

• Graduate or trade school background in electrical, mechanical, biomedical, electronics, or a related discipline

• Interest in diagnostic imaging and a strong desire to develop into an Imaging FSE

• Ability to troubleshoot, learn quickly, and follow structured technical training

• Valid driver’s license and willingness to travel locally in Central or Eastern Iowa

Ideal Candidate:

• Motivated, dependable, and known for a strong work ethic

• Team player who communicates well and builds rapport easily

• Takes ownership, stays organized, and is eager to grow

Why Choose nGenium?

At nGenium, we empower medical imaging professionals to take the next step in their careers.

Here’s why we’re the go-to partner for imaging engineers:

• Specialist Focus: We place top-tier talent in the medical imaging field, offering roles tailored to your skills, experience, and aspirations.

• Personal Guidance: You’ll work directly with Sam ( ), your dedicated consultant, for expert advice and ongoing support throughout the hiring process.

• Trusted Network: Our relationships with industry-leading healthcare providers ensure we connect you with the most exciting and rewarding opportunities available.

Next Steps:

Apply now or contact Sam at nGenium for a confidential discussion.

Candidate experience matters to us. This is a real role and every application is reviewed by a human. We do not use AI to screen applications or conduct interviews.

Radiologist – Body Imaging

Jefferson Einstein Hospital - Philadelphia | 100% Remote Option Available (Onsite optional) | Sign-On Bonus

Job Description Summary

Jefferson Einstein Hospital is seeking a fellowship-trained Body Imaging Radiologist to join our growing Radiology Department. This role offers the flexibility of 100% remote work, with optional onsite practice, and the opportunity to work within a high-volume, technologically advanced imaging environment.

Jefferson Einstein Hospital proudly carries forward a legacy of excellence established in 1866. Today, we remain deeply committed to delivering compassionate, high-quality care while continuing to lead through innovation across the Greater Philadelphia region.

Jefferson Einstein Hospital continues to invest in its physicians through a newly revised compensation plan and a system-wide implementation of Sectra PACS in 2026, reinforcing our commitment to innovation, efficiency, and radiologist satisfaction.

Summary of Responsibilities

• Interpret a wide range of diagnostic imaging studies with a focus on body imaging, including CT, MRI, ultrasound, and X-ray
• Provide accurate, timely, and high-quality radiologic interpretations to support patient diagnosis and treatment planning
• Collaborate closely with referring physicians and multidisciplinary care teams
• Maintain proficiency in emerging imaging technologies, protocols, and best practices

Compensation & Benefits

• Newly revised compensation plan offering competitive base salary with performance-based incentives
• Sign-on bonus, paid within the first month
• Full comprehensive benefits package
• Medical, dental, and vision insurance
• Retirement plans: Pension, 403(b), 457, and structured portfolio investment options
• PTO
• CME
• Long-term disability coverage
• Malpractice insurance with tail
• Life insurance

Department Overview

• More than 400,000 cases annually
• 6 MRI scanners, including two 3T units
• 9 CT scanners, including interactive software and a dual-energy spectral scanner
• State-of-the-art Philips EPIQ ultrasound systems
• Web-based Fuji PACS supported by a dedicated internal IT team
• System-wide implementation of Sectra PACS planned for 2026, further enhancing workflow efficiency, image quality, and enterprise-wide collaboration
• Home workstations with flexible shift options
• Advanced tools and platforms including Nuance, Vocera, QGenda, and Montage
• Active AI collaborations with multiple industry partners
• Department of 30 FTE radiologists, including 3 Thoracic Imagers

About Jefferson

Nationally ranked Jefferson Health is a leading not-for-profit academic health system headquartered in the Greater Philadelphia region, with a broad presence across Pennsylvania, New Jersey, and the Lehigh Valley. With a workforce of more than 65,000 team members, Jefferson is dedicated to delivering high-quality, compassionate patient care; strengthening the communities it serves; educating the next generation of healthcare leaders; and advancing innovation through clinical and applied research.

Thomas Jefferson University, founded in 1824, is home to Sidney Kimmel Medical College, Jefferson College of Nursing, and the Kanbar College of Design, Engineering and Commerce. Today, the University encompasses 10 colleges and three schools, offering more than 200 undergraduate and graduate programs to over 8,300 students.

Jefferson Health is consistently recognized as one of the top 15 not-for-profit healthcare systems in the United States, serving millions of patient encounters annually across 32 hospital campuses and more than 700 outpatient and urgent care locations. Jefferson Health Plans further extends Jefferson’s mission as a not-for-profit managed care organization serving Pennsylvania and New Jersey for more than 35 years.

Equal Opportunity Statement

Jefferson is committed to providing equal educational and employment opportunities for all individuals and does not discriminate based on age, race, color, religion, creed, sexual orientation, gender, gender identity, marital status, pregnancy, national origin, ancestry, citizenship, military or veteran status, disability, or any other legally protected status.

Join Jefferson Health — where your career, your voice, and your impact truly matter.

Learn more, apply today!

Jason Kendall

Talent Acquisition Partner, Physician Recruitment

Thomas Jefferson University and Jefferson Health

T (314) 327-4574 cell/text |

| |