Head of Clinical AI Research, AI for Clinical Development
Core
Lead the scientific portfolio and research agenda for AI methods that make clinical trial design and delivery AI-native, reducing uncertainty, time, and patient numbers across Phases I–III.
Role type
Senior IC research leader (Head of Clinical AI Research)
Builds
AI/ML models and agents for clinical development (multimodal foundation models, world models, trial simulation, predictive efficacy/safety modeling, patient selection/stratification, causal effects, synthetic control arms, digital endpoints)
Domain
Biopharmaceuticals / Clinical Development / AI for Healthcare
Deliverable
production ML models
Required skills
PhD in ML/CS/biomedical informatics, 8+ years AI/ML research experience, original methodologically rigorous research with peer-reviewed publications, research leadership, expertise in multimodal foundation models/LLMs/world models/agentic systems, AI/ML evaluation expertise, knowledge of clinical development lifecycle
Preferred skills
Biopharma clinical development/operations experience, building shared research infrastructure (evaluation harnesses, benchmarks, registries), engagement with regulators (FDA/EMA/NCI/NIH), authorship of AI governance standards, recruiting/developing research talent
Technologies
Multimodal foundation models, LLMs, world models, agentic systems, clinical NLP, causal effects modeling, synthetic control arms, digital endpoints
Responsibilities
Define and lead the scientific portfolio and methodological standards; translate cutting-edge research into regulated methods; represent the company externally via publications and regulatory discussions; build and mentor a high-performing research team
Seniority
Senior, hands-on IC with research leadership
