Drimva

Novartis

Principal Scientist II/Senior Principal Scientist, PK Sciences Clinical Pharmacology Artificial Intelligence (AI) Lead (dual level posting)

$120K–$257K

Cambridge (USA) · Principal · Full-time · Posted Jun 26, 2026

Experience
2+ years, preferably in a lead role overseeing ADME/DMPK project strategy in clinical development or AI strategy, for Principal Scientist II; 4+ years for Senior Principal Scientist. Also states a minimum of 0–2 years in drug discovery and/or development.
Education
Ph.D. / Pharm.D.

About the job

Leads AI-enabled strategies and solutions to improve clinical pharmacology planning, analyses, decision-making, and regulatory deliverables across drug discovery and development.

What you'll do

  • Identify, develop, and implement AI use cases for clinical pharmacology and PK/PD work.
  • Represent PK Sciences in project teams and collaborate with cross-functional colleagues on candidate development, study design, and decisions.
  • Apply AI/ML to support molecular design, data automation, dosing strategies, and regulatory document preparation.

What they ask for

  • Ph.D. / Pharm.D. with relevant experience in clinical pharmacology, drug metabolism and pharmacokinetics, or a related background.
  • 0–2 years of drug discovery and/or development experience in a relevant environment (academia, CRO, biotech, or Pharma).
  • In-depth pharmacokinetics knowledge, including drug metabolism and PK/PD evaluation; project-team experience and awareness of drug development and regulatory sciences.
  • Experience in a cross-functional, matrixed project-team environment; strong oral and written communication skills.

Nice to have

  • Hands-on AI project experience and examples of applying AI to clinical pharmacology topics.
  • Experience from late discovery into clinical development.

Pay

$119,700 and $222,300 per year (base salary), Principal Scientist II; $138,600 and $257,400 per year (base salary), Senior Principal Scientist

Tools

Artificial intelligence (AI), Machine Learning (ML), ADME, DMPK, Modeling & Simulation (M&S), PK/PD

AI focus

Use AI/ML to improve clinical pharmacology strategy and delivery, support model-guided molecular design and PK/PD understanding, automate preclinical and clinical data work, and assist regulatory document authoring.

Model-written summary · the original posting is authoritative

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