Job description
ABOUT THE ROLE
Join 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 FOR
- 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., Py. Torch, Tensor. Flow).
- 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. LOCATION This is a full-time, on-site role based in San Francisco, CA. Remote work is not available.