Director, Clinical AI Research & Evaluation
Core
Lead the scientific foundation for evaluating clinical AI systems to ensure they are trustworthy, measurable, and ready for regulated practice in clinical development.
Role type
Director, Clinical AI Research & Evaluation (Research Leadership with Delivery Accountability)
Builds
Evaluation harnesses, benchmark construction, failure mode taxonomies, red-team protocols, and monitoring strategies for agentic systems.
Domain
Life Sciences / Clinical Development / AI Evaluation / Human Factors
Deliverable
production ML models
Required skills
AI/ML evaluation methodology, human-computer interaction, statistical inference, Python, SQL, LLM evaluation, team leadership, experimental design
Preferred skills
Clinical trial conduct, GxP compliance, prospective validation studies, causal inference, weak supervision
Technologies
Python, SQL, LLM evaluation platforms, LLMOps/MLOps
Responsibilities
Define scientific methodology for AI evaluation, design evaluation frameworks for regulated deployment, lead hands-on failure analysis, advise on go/no-go decisions, create reusable evaluation standards.
Seniority
Director, strategic leadership with hands-on technical execution