Director - Pharmacometrics AI Lead; Remote or Hybrid

Job Description

The Quantitative Pharmacology and Pharmacometrics (QP2) department drives model-informed drug discovery and development (MIDD) to routinely enable efficient drug discovery/development and/or regulatory decisions. The Pharmacometrics group within QP2 brings an experienced leadership team, deep modeling expertise and state-of-the-art modeling approaches across multiple therapeutic areas and modalities to drive portfolio impact from discovery through life-cycle management. The team is externally visible and continues to be at the leading edge of building innovative state-of-the-art tools together with applying AI/ML techniques to drive pipeline impact.

As we enter a new era of AI-driven drug development, our mission is to amplify MIDD through cutting-edge AI, advanced analytics, and automation. With AI/ML now integral to decision-making at our Company, this role gives the Director the opportunity to shape pipeline impact and lead a talented team of pharmacometricians.

• Identify high-value, scalable use cases that can innovate and accelerate development timelines and execute on the strategic integration of AI/ML into QP2 pharmacometric approaches to advance MIDD across the portfolio
• Evaluate emerging AI/ML technologies, lead proof-of-concept initiatives, and translate successful pilots into enterprise-scale solutions that deliver real-world value
• The incumbent will participate in our Company's key Enterprise-wide AI/ML efforts as a departmental liaison on such work streams in partnership with IT, our Company Enterprise Strategy Office, and other partner functions to implement robust AI solutions
• Will take a leadership role in influencing and driving a longer-term departmental strategy for utilization of AI/ML in Pharmacometrics
• Collaborate with QP2 TA Representatives and Pharmacometricians to identify opportunities for AI/ML usage in MIDD on our Company Programs
• Lead adoption initiatives through training programs and upskilling efforts, fostering a culture of innovation and empowering teams to embrace AI/ML methodologies
• Initiate and manage external collaborations which include technology providers, academia, and consortia to develop new AI/ML methodologies and lead our external outreach to the scientific pharmacometrics community
• Maintain a current understanding of emerging AI/ML technologies/vendors and lead assessments for application to Pharmacometric workflows
• Take a leading role in developing Agentic AI workflows that drive efficiencies in standard pharmacometric workflows

• Ph.D. with at least 8 years of experience where "experience" means having a record of increasing responsibility and independence in a similar role in pharmaceutical drug development
• Educational background in pharmacometrics, mathematics, or statistics/biostatistics or a related quantitative discipline
• Deep hands‑on expertise in pharmacometrics (e.g., population PK and PK/PD analyses, model-based meta‑analysis, dose‑response and exposure‑response analyses, disease modeling, trial simulation, optimal study designs, strategic decision analyses)
• Demonstrated leadership in applying AI/ML methods in drug development with at least 2 years of demonstrated examples (through publications or other) of utilizing AI/ML/NLP approaches for drug development
• Proven success in scaling digital solutions from pilot to enterprise deployment
• Deep knowledge of drug development, pharmacokinetics and pharmacology, MIDD principles, regulatory expectations, and the evolving role of AI/ML in clinical development

• Demonstrated external visibility in the field of pharmacometrics, through publications, presentations, and involvement in professional organizations shaping the industry dialogue on responsible and effective AI adoption in drug development
• Experience in developing quantitative strategies impacting pipeline decisions
• Strong understanding of data architecture, cloud platforms, and modern analytics ecosystems
• Hands‑on experience with specific AI tools (e.g. Python/R/Matlab for ML, Tensor Flow/PyTorch, cloud-based ML platforms)
• Ability to participate in and to steer an interdisciplinary…