About this role
About the Role 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.
What You'll Do
- 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.
What We're Looking For
- PhD in Computer Science, Electrical Engineering, Biomedical Eng or related field.
- 5–8+ years of post-PhD experience in AI for medical imaging and multimodal AI.
- Deep expertise in medical image analysis and foundation models; experience with transformers, large vision and multimodal models; self-supervised and weakly supervised learning.
- Track record of research leadership and collaboration with clinicians; translating research to clinical impact.
- Ability to design robust, generalizable AI methods with uncertainty handling and clinical deployment considerations.
- Excellent communication, mentoring, and cross-functional collaboration skills.
Nice to Have
- Exposure to Physical AI or real-world AI systems that interact with imaging pipelines, devices, or operational constraints.
Compensation & Benefits
- Relocation assistance available.
- This is a full-time position based in Bengaluru, India. Salary details not disclosed.