Medical AI Researcher

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

Required:

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.

Location

This is a full-time, on-site role based in San Francisco, CA. Remote work is not available.