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 bringing safe, efficacious treatments to patients faster and more cost-effectively.
Role type
Director of AI Research (Oncology Clinical Development)
Builds
Enterprise AI engine capabilities for clinical study design, execution, and decision-making across hematology, cell therapy, antibody-drug conjugates, small molecules, and biologics.
Domain
Biopharma / Oncology / Clinical Development / Machine Learning
Deliverable
production ML models
Required skills
PhD in quantitative discipline, machine learning fundamentals, software development and coding, problem definition, data governance, algorithm development, model validation, cross-functional collaboration, external collaboration, scientific publishing, mentorship
Preferred skills
ML literature knowledge, biology domain expertise, biological data experience (molecular, imaging, clinical text), drug development experience, matrixed global organization experience
Technologies
frontier coding agent frameworks, foundation models, Bayesian inference, temporal modeling, multimodal integration, multi-agent systems
Responsibilities
Define and drive AI strategy and roadmap for Oncology early and late phase clinical development; Lead delivery of complex, high-stakes AI projects; Evaluate and champion cutting-edge AI methods end-to-end; Build cross-functional relationships to embed AI into clinical study design and execution; Establish external collaborations with academic institutions and partners; Represent AstraZeneca at scientific conferences and contribute publications; Establish best practices and mentor junior scientists
Seniority
Director, strategic lead with hands-on technical authority
