Clera
Medical AI Researcher
San Francisco. Posted 5 months ago
The role
You will lead end-to-end customer engagements to conduct evaluations of medical imaging AI systems. You will design investigations to characterize model behavior and deliver reports for regulatory and internal audiences.
What you will 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
- Translate findings into actionable evaluation evidence
- Deliver clear, defensible reports and presentations
- Collaborate with customers and cross-functional teams
Required qualifications
- Hands-on expertise in medical imaging workflows and integration (DICOM/PACS, radiology pipelines)
- Integrating ML models into clinical systems
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience
- Several years of experience in ML evaluation or medical imaging AI
- Practical MLOps and model evaluation skills
- Building reproducible evaluation pipelines
- Model validation/monitoring
- Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow)
- Familiarity with Docker and Kubernetes
Nice to have
- Experience with regulatory considerations for medical AI (FDA submissions such as 510(k) or De Novo)
- Healthcare industry experience
Before you apply
- Visa sponsorship is not available for this role
About the company
clera is a healthtech company conducting rigorous, independent evaluations of medical imaging AI systems.