Senior Staff Data Scientist

I00M05 Wipro GE Healthcare Private Limited; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Relocation assistance provided

Job summary

I00M05 Wipro GE Healthcare Private Limited in Bengaluru is seeking a PhD-trained AI scientist with 5–8+ years of experience in medical imaging and multimodal AI research. The role requires expertise in medical image analysis and involves driving innovation in clinical applications.

You will lead research vision, mentor teams, and ensure impact through validation and deployment of AI solutions. The ideal candidate should have strong technical skills in PyTorch and deep learning workflows.

Qualifications

• PhD in a relevant field with 5–8+ years of post-PhD experience.
• Deep expertise in medical imaging AI, including experience with various imaging modalities.
• Strong publication record in top-tier conferences.

Responsibilities

• Define and own the research vision for medical image analysis.
• Lead development of detection, segmentation, and classification solutions.
• Mentor senior scientists and provide technical guidance across projects.

Skills

Medical image analysis

Deep learning workflows

Multimodal learning

PyTorch

Clinical validation

Education

PhD in Computer Science or related field

Tools

PyTorch

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. 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.

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.

Relocation Assistance

Provided: Yes