Associate Director, AI for Oncology Clinical Development
Core
Technical lead leveraging AI, computational, statistical, and machine learning tools to advance late-stage oncology drug pipelines and redefine clinical development processes.
Role type
Senior IC technical lead (AI for Clinical Development)
Builds
Novel AI solutions applied to clinical study design, execution, strategy, and decision-making for oncology therapies
Domain
Oncology + Machine Learning + Clinical Development
Deliverable
production ML models
Required skills
Software development, frontier coding agent frameworks, biology domain expertise, machine learning fundamentals, foundation model training/tuning, Bayesian inference, temporal modeling, multimodal integration, data-centric AI, model interpretability
Preferred skills
Cancer biology expertise, biological data handling (molecular, imaging, clinical text), drug development experience (trial design, biomarkers, regulatory), matrixed global organization experience
Technologies
Frontier coding agent frameworks, computing hardware
Responsibilities
Define AI strategy and roadmap for oncology clinical development; deliver complex high-stakes AI projects; evaluate and develop cutting-edge AI methods; partner with clinical/regulatory teams to validate AI solutions; establish external collaborations; publish in leading ML/clinical AI journals; mentor peers
Seniority
Senior, hands-on IC
