Director of AI Research, AI for Oncology Clinical Development
Core
Senior technical and strategic lead defining and delivering AI strategy for oncology clinical development to accelerate safe, efficacious treatments.
Role type
Director of AI Research (Oncology Clinical Development)
Builds
Enterprise AI capabilities for late-stage drug pipeline advancement across hematology, cell therapy, antibody-drug conjugates, small molecules, and biologics.
Domain
Biopharma / Oncology / Clinical Development
Deliverable
production ML models
Required skills
PhD in quantitative discipline, AI/ML strategy definition, cross-functional leadership, external collaboration, scientific publishing, mentorship, software development, frontier coding agent frameworks, foundation model training, Bayesian inference, temporal modeling, multimodal integration, data-centric AI, model interpretability, multi-agent systems.
Preferred skills
ML community connections, biology domain expertise, biological data experience (molecular, imaging, clinical text), drug development experience (trial design, biomarkers, regulatory), matrixed global organization experience.
Responsibilities
Define AI strategy and roadmap for oncology clinical development; lead delivery of complex AI projects via matrix influence; evaluate and champion cutting-edge AI methods; build relationships with clinical/regulatory teams to embed AI in study design; establish external collaborations; represent company at conferences and publish; establish best practices and mentor junior scientists.
Seniority
Director, strategic lead with hands-on technical authority