Associate Director, AI for Oncology Clinical Development
Core
Technical lead leveraging AI, machine learning, and statistical 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 for clinical study design, execution, strategy, and decision-making in oncology
Domain
Biopharma / Oncology / Clinical Development
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, coding agent frameworks
Preferred skills
Drug development experience (trial design, biomarkers, regulatory), biological data expertise (molecular, imaging, clinical text), matrixed global organization experience, active ML research community engagement
Technologies
Python, coding agent frameworks, foundation models, Bayesian tools, multimodal frameworks
Responsibilities
Define and deliver on clinical development questions using AI; evaluate and develop cutting-edge AI methods; partner with clinical and regulatory teams to validate AI solutions; establish external collaborations; represent the company at scientific conferences and publish research; mentor peers
