Director, AI Research
Core
Define and deliver an AI research agenda to improve clinical trial design, conduct, and analysis for Oncology and BioPharmaceuticals, translating methodological innovation into clinical-development strategy.
Role type
Director, AI Research (Strategy & Technical Leadership)
Builds
AI systems for clinical development, reproducible research workflows, and evaluation frameworks for foundation models and agentic systems.
Domain
Biopharmaceuticals / Clinical Trials / Advanced AI
Deliverable
production ML models
Required skills
PhD in CS/ML/Biostats/Computational Biology, 8+ years in original research, leadership of end-to-end research programs, Python, PyTorch/JAX/TensorFlow, causal inference, survival analysis, Bayesian modeling, multimodal learning, model interpretability.
Preferred skills
Biomedical data (EHR, imaging, genomics), LLMs and agentic systems (fine-tuning, RAG, tool use), GxP/regulatory validation, mentoring in global matrixed organizations.
Technologies
Python, PyTorch, JAX, TensorFlow, LLMs, Agentic Systems, Cloud/High-Performance Computing.
Responsibilities
Set and execute research strategy for high-impact clinical challenges; invent AI/statistical methods for heterogeneous treatment effects and patient stratification; design and evaluate agentic AI systems; build reproducible engineering workflows; shape clinical strategy and investment decisions; publish research and partner with regulators; cultivate research culture and mentor teams; establish responsible AI governance frameworks.
Seniority
Director, Strategy & Technical Leadership
