Medical AI Researcher

Clera•San Francisco, CA

1d•$150,000 - $230,000•Onsite

About The Position

Join a healthtech company conducting rigorous, independent evaluations of medical imaging AI systems — bridging the gap between benchmark performance and 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 practical ML skills with customer-facing judgment to characterize model behavior, generalization, and uncertainty in real-world clinical workflows.

Requirements

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.

Nice To Haves

Experience with regulatory considerations for medical AI (FDA submissions such as 510(k) or De Novo).
Healthcare industry experience preferred.

Responsibilities

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 go/no-go decisions and drive impact on product strategy.