Medical AI Researcher
$150,000–$230,000 year
On-site · San Francisco, California, United States
Job Summary
Lead end-to-end customer engagements: define evaluation questions, scope investigations, and run meetings for medical imaging AI evaluation. Design and execute investigations to 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 go/no-go decisions and drive product strategy. Requires hands-on expertise in medical imaging workflows and ML evaluation, proficiency in Python and ML frameworks (PyTorch/TensorFlow), and familiarity with Docker and Kubernetes. Nice-to-have regulatory experience with medical AI (FDA submissions such as 510(k) or De Novo). This is an on-site role with a compensation range of $150,000–$230,000 USD annually.
Required Qualifications
- Hands-on expertise in medical imaging workflows and integration (DICOM/PACS, radiology pipelines) and 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, and proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow)
- Familiarity with Docker and Kubernetes
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