MedicalAIResearcher

ABOUT THE ROLE 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. 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 go/no-go decisions and drive impact on product strategy. WHAT WE'RE LOOKING FOR - Required: 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 have: Experience with regulatory considerations for medical AI (FDA submissions such as 510(k) or De Novo). - Healthcare industry experience preferred. COMPENSA