Senior Staff Data Scientist

at GE HEALTHCARE Armed Forces Covenant Defence Employer Recognition Silver  
Healthcare
 
Healthcare Records Software
 
Computer Vision

Summary

The 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.

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.

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.

Additional Information

Relocation Assistance Provided: Yes

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