Director of AI Research, AI for Oncology Clinical Development
Core
Senior technical and strategic lead defining and delivering AI strategies to accelerate late-stage oncology clinical drug development pipelines.
Role type
Director of AI Research (Oncology Clinical Development)
Builds
Enterprise AI engine and validated AI solutions for clinical study design, execution, and decision-making in oncology.
Domain
Biopharma / Oncology / Clinical Development / Machine Learning
Deliverable
production ML models
Required skills
Machine learning fundamentals, foundation model training and tuning, Bayesian inference, temporal modeling, multimodal integration, data-centric AI, model interpretability, software development, biology domain expertise
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; lead delivery of high-stakes AI projects; evaluate and champion cutting-edge AI methods; build cross-functional relationships to embed AI in clinical studies; establish external collaborations; represent company at scientific conferences; mentor junior scientists
Seniority
Director, strategic lead with hands-on technical execution