Drimva

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.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)