Director - Pharmacometrics AI Lead (Remote or Hybrid)
Core
Lead the strategic integration of AI/ML and digital technologies into quantitative pharmacology workflows to drive model-informed drug discovery and development (MIDD) and accelerate decision-making across the drug portfolio.
Role type
Director, Pharmacometrics AI Lead
Builds
Next-generation MIDD approaches, enterprise-scale AI/ML solutions, and agentic AI workflows for standard pharmacometric tasks.
Domain
Pharmaceutical drug development, Quantitative Pharmacology, Artificial Intelligence/Machine Learning
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Pharmacometrics (PK/PD, MBMA, disease modeling), AI/ML strategy, Drug development lifecycle, Regulatory expectations, Data architecture, Cloud platforms, Python/R/Matlab, TensorFlow/PyTorch, NLP, Deep Learning, Leadership, Stakeholder management
Preferred skills
External visibility in pharmacometrics, Quantitative strategy, Modern analytics ecosystems, Interdisciplinary team steering, Executive-level narrative crafting
Technologies
Python, R, Matlab, TensorFlow, PyTorch, Cloud-based ML platforms
Responsibilities
Identify and execute scalable AI/ML use cases for MIDD, lead proof-of-concept initiatives and scale pilots to enterprise solutions, collaborate with IT and Strategy Office on enterprise AI efforts, drive departmental strategy for AI/ML utilization, collaborate with TA Representatives to identify AI opportunities, lead training and upskilling initiatives, manage external collaborations with academia and technology providers, develop agentic AI workflows for efficiency.
Seniority
Director, strategic leadership & hands-on technical direction
