Senior Staff Data Scientist

GE HealthCare; Bengaluru; On-site; INR 1,600,000 - 2,400,000; Full time

Benefits offered by this job

Relocation Assistance

Job summary

GE HealthCare is seeking a Senior AI Scientist in Bengaluru, India, who will drive advanced medical imaging and multimodal AI research. The ideal candidate will have a PhD and experience in deploying AI solutions in clinical settings.

This role requires leadership in defining research vision and collaborating with cross-functional teams to translate ideas into clinically impactful solutions. A strong publication record and expertise in medical image analysis are essential for this position.

Qualifications

• 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.

Responsibilities

• Define and own the research vision for medical image analysis and multimodal AI.
• Lead dataset curation and evaluation strategies.
• Mentor senior scientists and influence AI platform strategy.

Skills

Medical image analysis

AI development in regulated environments

Advanced proficiency in PyTorch

Multimodal models

Self-/weakly-supervised learning

Education

PhD in Computer Science or related field

Job description

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.

Job Description

This individual serves as a senior technical leader, shaping research direction, mentoring scientists, and ensuring scientific rigor translates into measurable clinical impact.

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 such as 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.

Benefits and Compensation

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