Novartis
Director, PK Sciences Clinical Pharmacology Artificial Intelligence (AI) Lead
$186K–$344K
Cambridge (USA) · Director · Full-time · Posted Oct 19, 2026
- Experience
- A minimum of 8-10 years in drug discovery and/or development; 6+ years preferably in a lead role overseeing ADME/DMPK project strategy in translational/clinical development, or in AI strategy.
- Education
- Ph.D. / Pharm.D. with relevant experience in clinical pharmacology, drug metabolism and pharmacokinetics or a related background.
About the job
Leads AI strategy and implementation within PK Sciences to improve clinical pharmacology planning, analyses, drug development, and regulatory deliverables.
What you'll do
- Develop and oversee implementation of AI strategy and high-value use cases for clinical pharmacology within PK Sciences.
- Use AI to improve PK/PD understanding, dosing strategies, data automation, molecular design, and regulatory document authoring.
- Represent PK Sciences in cross-functional project teams and collaborate on study design, data interpretation, and development decisions.
What they ask for
- Ph.D. / Pharm.D. with relevant experience in clinical pharmacology, drug metabolism and pharmacokinetics, or a related background.
- Extensive knowledge of pharmacokinetics, drug metabolism, and PK/PD evaluation.
- Experience working in project teams and cross-functional, matrixed environments; strong oral and written communication skills.
Nice to have
- Hands-on project experience with AI approaches, including examples of applying AI to clinical pharmacology topics.
- Experience in late discovery into clinical development; 6+ years preferably in a lead role overseeing ADME/DMPK project strategy in translational/clinical development, or in AI strategy.
Pay
$185,500 and $344,500 per year (base salary); $185,500.00 - $344,500.00 (base salary)
Tools
Artificial intelligence (AI), Machine Learning (ML), ADME, DMPK, Modeling & Simulation (M&S), PK/PD
AI focus
Develops and applies AI/ML for clinical pharmacology strategy, molecular design, automation of preclinical and clinical data, PK/PD analysis and dosing predictions, and regulatory document authoring.
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