Medical AI Researcher
About The Position
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.
Requirements
- 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: building reproducible evaluation pipelines, model validation/monitoring, Docker, and Kubernetes.
Nice To Haves
- Prior healthcare industry experience.
- Familiarity with regulatory considerations for medical AI, including FDA submission pathways such as 510(k) or De Novo.
- Experience communicating technical findings to non-technical or regulatory stakeholders.
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.
Benefits
- Equity participation in a fast-growing, venture-backed startup.
- High-impact, highly visible role at a small, mission-driven team.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
