Medical AI Researcher

### About the Role

We are a venture-backed, early-stage healthtech startup focused on independent, rigorous evaluation of medical imaging AI systems — bridging the gap between benchmark performance and real-world clinical reliability. We work with medical imaging companies preparing FDA submissions, providing the evidence infrastructure they need to make confident go/no-go decisions throughout the product lifecycle.

As a Medical AI Researcher, you will own customer engagements end-to-end — from defining evaluation questions to delivering defensible evidence for regulatory and internal audiences. You'll combine strong ML skills with customer-facing judgment to deeply understand model behavior, generalization, and uncertainty in clinical workflows.

Note: Visa sponsorship is not available for this role.

### 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

• 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.
• Several years of experience (1–7 years) in ML evaluation or medical imaging AI.
• Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow).
• Practical MLOps and model evaluation skills:...