Job Description 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.

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 d

📌 Senior Staff Data Scientist (India)
🏢 GE Healthcare
📍 India