Senior Scientist, Clinical AI Research & Evaluation (Regulatory & Responsible AI)
Core
Design and run evaluations of LLM-based and agentic clinical systems, serving as a technical advisor to Regulatory Affairs on evidence standards and risk.
Role type
Senior Scientist (Researcher-first with regulatory advisory responsibilities)
Builds
Reusable evaluation assets (test sets, scoring rubrics, pipelines) and evaluation practices for clinical AI systems
Domain
Clinical development, Regulated medicine, Responsible AI
Deliverable
production ML models
Required skills
LLM evaluation, Python, SQL, failure analysis, red-teaming, statistical rigor, uncertainty quantification
Preferred skills
Clinical NLP, user study design, causal inference, model risk management, agentic system evaluation
Technologies
Python, SQL, LLMs, agentic workflows
Responsibilities
Design benchmarks and evaluation harnesses for clinical AI, translate evaluation evidence for regulatory teams, build reusable analysis pipelines, conduct failure-mode analysis, advise on validation documentation and risk assessment
Seniority
Senior, hands-on IC
