AI Research Lead, AI for Oncology Clinical Development
Core
Lead high-impact AI research and engineering to redesign oncology trials, influencing study design, dosing strategies, endpoints, and safety evaluations to accelerate medicine delivery.
Role type
Associate Director, AI Research Lead (Oncology Clinical Development)
Builds
Production ML models and evaluation frameworks for late-stage clinical development
Domain
Biopharmaceuticals / Oncology / Clinical Development
Deliverable
production ML models
Required skills
PhD in quantitative discipline, machine learning fundamentals, foundation model training/tuning, Bayesian inference, temporal modeling, multimodal integration, data-centric AI, model interpretability, software development
Preferred skills
cancer biology expertise, biological data experience (molecular, imaging, clinical text), drug development experience, agentic tools proficiency
Technologies
frontier coding agent frameworks, computing hardware
Responsibilities
Co-own AI strategy for early and late-phase oncology development; deliver complex AI programs meeting regulatory scrutiny; develop cutting-edge AI methods from framing to deployment; partner with clinical/regulatory teams to embed AI in study design; design rigorous model evaluation and validation frameworks; build external collaborations with academic groups and consortia; author publications in leading ML and clinical AI journals; mentor peers and foster a culture of pragmatic engineering
Seniority
Associate Director, strategic leadership with hands-on technical execution
