Job Description Summary

The Senior Scientist – AI/ML will work in and lead teams as technical domain expert addressing statistical, machine learning and data understanding problems in early stage projects. In this role, you will contribute to the development and deployment of modern machine learning, semantic analysis, generative AI and statistical methods.

GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world changing realities, and join an organization where every voice makes a difference — and every difference builds a healthier world

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Job Description

We are seeking a highly motivatedSenior Scientist in AI/ML Domain to join our Healthcare Technology & Innovation Center, focused on buildingearly-stage (low TRL) AI-driven solutions. This role is ideal for candidates who thrive at the intersection ofapplied machine learning, physics-informed modeling, and generative AI, and who are passionate about translating cutting-edge research into impactful innovations related to healthcare products, software and services.

You will play a key role inconceptualizing, prototyping, and validating novel AI technologies, working closely with cross-functional teams and business stakeholders to shape the future of healthcare solutions, both for our customers and for internal users.

Roles and Responsibilities

As a Senior Scientist, you will be part of a data science or cross-disciplinary team on early development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE HC business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, and operations optimization.

Key Responsibilities

AI/ML Innovation and Development

• Lead thedesign and development of novel AI/ML solutions for early-stage healthcare applications, including clinical decision support, equipment services productivity, and engineering workflow automation.
• Build and evaluateretrieval-augmented generation (RAG) andLLM-based agentic systems with emphasis oninterpretability, traceability, and reliability.
• Developadvanced prompt engineering frameworks, including multi-agent workflows (e.g., Plan-and-Execute, ReAct) to enable complex reasoning tasks.

Algorithm Design & Modelling

• Design and implementmachine learning algorithms for structured and unstructured data, including:
  • Time-series modelling
  • Unsupervised and semi-supervised learning
  • Anomaly detection and predictive analytics
• Integratephysics-informed or domain-aware models with data-driven approaches where applicable.

Prototyping & Deployment

• Buildend-to-end prototypes using modern software stacks (Python, Flask, microservices architecture).
• Deploy scalable solutions usingcontainerization tools (Docker) and cloud-native environments.
• Developmodular, reusable ML pipelines for rapid experimentation in low-TRL environments.

Technical Leadership:

• Providetechnical leadership on projects, guiding architecture, design decisions, and development strategy.
• Mentor junior scientists and engineers, fostering a culture of innovation and rigor.
• Collaborate withclinical, product, and engineering stakeholders to translate business needs into AI solutions.

Evaluation & Validation:

• Define evaluation frameworks to measuremodel accuracy, robustness, interpretability, and real-world applicability.
• Conductpilot studies and validation exercises with domain experts.
• Establish best practices forresponsible AI, explainability, and regulatory awareness.

Education Qualification:

• Master’s or PhD inComputer Science, AI/ML, Engineering, or related fields (e.g., Aerospace, Mechanical, Electrical, Applied Math).

Preferred Qualifications:

• Experience inhealthcare AI or regulated industries (or strong interest in transitioning).
• ~10–15 years of experience inapplied AI/ML, ideally in industrial or research environments.
• Strong programming skills inPython (experience with R/Matlab is a plus).
• Hands-on experience with:
  • Machine Learning / Deep Learning frameworks
  • Generative AI and Large Language Models (LLMs)
  • Retrieval methods and RAG systems
  • Time-series analysis and anomaly detection
• Experience withbuilding and deploying ML systems (Flask, APIs, Docker, microservices).
• Demonstrated experience inleading technical projects or initiatives.
• Background inphysics-based modelling, simulations, or engineering systems.
• Experience developinginterpretable AI systems with explainability and traceability.
• Prior work onunsupervised learning, predictive maintenance, or sensor data analytics.
• Exposure tomulti-agent systems and advanced prompt engineering techniques.

Key Attributes

• Strongproblem-solving and research mindset suited for ambiguous, early-stage problems.
• Ability totranslate complex technical ideas into impactful solutions.
• Excellent collaboration and stakeholder engagement skills.
• Passion forinnovation, experimentation, and real-world impact.

Why Join Us

• Work oncutting-edge AI innovations in healthcare at low TRL.
• Opportunity to shape the future ofclinical and engineering intelligence systems.
• Collaborative environment withworld-class researchers and engineers.
• Access to real-world data, clinical insights, and global innovation programs.

Nice-to-Have Skills

• Generative AI application frameworks (LangChain, agents, tool use)
• Cloud platforms (AWS/Azure/GCP)
• Data engineering and pipeline orchestration
• UI frameworks (optional: Streamlit, Flutter)

Leadership:
• Demonstrated expertise working in team settings in various roles
• Demonstrated expertise in critical thinking and problem solving methods
• Demonstrated expertise in presentation and communications skills


Personal Attributes:
• Demonstrated skill in serving as a change agent
• Demonstrated skill in working in ambiguous environments

Inclusion and Diversity

GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.

Ourtotal rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.

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