Medical AI Researcher
at Clera · 1-10 employees
Seed · $3M · Apr 2026
- Work model
- Onsite
- Employment
- Full Time
- Location
- San Francisco
- Posted
- 5d ago
pythongokubernetesdockertensorflowpytorch
at Clera · 1-10 employees
Clera is a talent-matching platform that replaces traditional job applications by connecting candidates and hiring teams through curated introductions.
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.