Director, Clinical AI Research & Evaluation

What you'll do

• Set the scientific agenda and develop evaluation methods, benchmarks, failure analyses, and human-factors practices for clinical AI.
• Direct a team and build reusable evaluation assets and readiness frameworks for clinical AI systems, from prototype through regulated deployment.
• Partner with product, engineering, Quality, Regulatory, Privacy, Security, and R&D IT on evidence standards, governance, and go/no-go decisions.

What they ask for

• PhD in a quantitative discipline, or MD or equivalent experience with a comparably rigorous research record.
• 8 or more years of post-PhD (or equivalent) experience in AI/ML research, evaluation science, or human factors in a healthcare, life sciences, clinical research, or other safety-critical domain.
• Deep expertise in AI/ML evaluation methodology and human-computer interaction or human factors for high-stakes AI-assisted decisions.
• Current hands-on coding ability in Python and SQL; demonstrated research leadership and ability to translate methods into practical systems.

Nice to have

• Clinical trial, site monitoring, medical monitoring, or clinical data management experience in pharma, biotech, or CRO.
• Experience producing audit-ready GxP evidence or conducting prospective validation or human-computer interaction studies in live clinical workflows.

Pay

$186,014 to $279,021 USD (base salary)

Tools

Python, SQL, LLM-based

AI focus

Research leadership and applied evaluation of clinical AI, including agentic systems, human-AI interaction, safety, and evidence for regulated deployment.