About the RoleJoin a small, mission-driven team conducting rigorous, independent evaluations of medical imaging AI systems - bridging the gap between benchmark performance and real-world clinical reliability. As a
Medical AI Researcher, you'll work directly with medical imaging companies preparing FDA submissions, owning customer engagements end-to-end: from defining evaluation questions to delivering evidence that informs go/no-go decisions. You'll combine strong ML skills with customer-facing judgment to characterize model behavior, generalization, and uncertainty in real-world clinical workflows.
What You'll Do- Lead end-to-end customer engagements - run meetings, define evaluation questions, and scope investigations.
- Design and execute investigations that characterize model behavior, generalization, failure modes, and remaining uncertainty.
- Analyze medical imaging workflows (DICOM/PACS, radiology pipelines) and translate findings into actionable evaluation evidence.
- Deliver clear, defensible reports and presentations for regulatory and internal audiences under tight timelines.
- Collaborate with customers and cross-functional teams to inform product strategy and go/no-go decisions.
What We're Looking ForRequired:- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience).
- Hands-on expertise with medical imaging workflows and integration - DICOM/PACS, radiology pipelines, and integrating ML models into clinical systems.
- Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow).
- Practical MLOps and model evaluation skills: building reproducible evaluation pipelines, model validation/monitoring, Docker, and Kubernetes.
- Several years of experience in ML evaluation or medical imaging AI.
Nice to Have:- Healthcare industry experience.
- Familiarity with regulatory considerations for medical AI, including FDA submissions such as 510(k) or De Novo.
Compensation & Benefits- Salary: $150,000 - $230,000 USD annually
- Visa sponsorship is not available for this role.
LocationThis is a full-time,
on-site role based in
San Francisco, CA. Remote work is not available.
