Senior Staff Data Scientist

Job Description SummaryThe ideal candidate is a PhD-trained AI scientist with 5–8+ years of post-PhD experience driving advanced medical imaging and multimodal AI research from conception to real-world clinical deployment. The role emphasizes deep expertise in medical image analysis and foundation models, with exposure to Physical AI or real-world AI systems considered an added advantage, particularly where models interact with imaging pipelines, devices, or operational constraints.
This individual serves as a senior technical leader, shaping research direction, mentoring scientists, and ensuring scientific rigor translates into measurable clinical impact.

GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. 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.

Job Description

Research & Technical Leadership:

• Define and own the research vision for Medical image analysis, Physical AI and Multimodal AI aligned with clinical and product needs.
• Lead development of state-of-the-art detection, segmentation, classification, and quantitative imaging solutions.
• Drive innovation using transformers, large vision and multimodal models, self-supervised and weakly supervised learning.
• Establish high standards for robustness, generalization, uncertainty handling, and evaluation in clinical settings.
• Consider downstream system and workflow constraints when designing models intended for real-world use.

Clinical Translation & Impact:

• Partner with clinicians and cross-functional teams to convert research ideas into clinically meaningful AI solutions.
• Lead dataset curation and evaluation strategies accounting for acquisition variability, site differences, and data quality challenges.
• Support solutions through clinical validation, regulatory awareness, and deployment, ensuring safety and reliability.

Organizational & Cross-Functional Leadership

• Mentor senior scientists and researchers; provide technical review and guidance across projects.
• Influence AI platform, tooling, and modeling strategy in collaboration with engineering and MLOps teams.
• Act as a subject-matter expert in medical imaging AI, advising leadership on technical trade-offs and opportunities.

Research Excellence & Thought Leadership

• Publish in top-tier venues (e.g., MICCAI, CVPR, NeurIPS, TMI, MedIA) and contribute to high-impact IP.
• Stay current with advances in foundation models, multimodal learning, and applied AI for healthcare.

Educational Qualifications:

• PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field.
• 5–8+ years of post-PhD experience in medical imaging AI or applied AI research.
• Strong publication and/or patent record.
• Demonstrated ability to take work from research conception to validated, real-world deployment.

Technical Expertise:

• Deep expertise in medical image analysis (2D/3D/4D imaging across MRI, CT, PET, X-ray, Ultrasound).
• Advanced proficiency in PyTorch and modern deep learning workflows.
• Strong experience with multimodal models, self-/weakly-supervised learning, and cross-site generalization.
• Solid understanding of MLOps, experiment reproducibility, and AI development in regulated environments.

• Exposure to AI systems operating under real-world constraints, such as interaction with imaging hardware, devices, or operational pipelines.
• Familiarity with issues like sensor variability, latency, stability, or deployment constraints.
• Experience adjacent to robotics, intelligent devices, or simulation environments is a plus, but not required.
• Recognized for technical depth and scientific judgment in medical imaging AI.
• Thinks beyond individual models to end-to-end research and validation pipelines.
• Pragmatic, impact-driven, and comfortable operating across research, engineering, and clinical domains.
• Viewed as a trusted senior advisor by peers and leadership.

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.

Our total 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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Additional Information