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