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NONovartis Pharma AG

Principal Scientist I or II, PK Sciences Therapeutic Areas(m/w/x)

Basel
Full-timeOn-siteEntry Level
AI/ML

Developing and implementing pharmacology strategies for new medicines in translational and clinical work. Ph.D. or Pharm.D. with 0-2 years of drug discovery/development experience required. Collaboration with global interdisciplinary PK Science teams.

Requirements

  • Ph.D. / Pharm.D. with relevant experience in clinical pharmacology, drug metabolism and pharmacokinetics or related background
  • 0-2 years of experience in drug discovery and/or development
  • 2+ years of experience preferably in a lead role overseeing ADME/DMPK project strategy
  • Extensive knowledge of pharmacokinetics including drug metabolism and PK/PD evaluation
  • Experience in working in project teams (preferably global)
  • Sound awareness of recent developments in drug development and regulatory sciences
  • Exposure to working in a cross-functional, matrixed, project-team environment
  • Strong oral and written communication skills
  • Hands-on project experience with Artificial intelligence (AI) / Machine Learning (ML) approaches
  • Delivers results through disciplined execution, continuous improvement, and focus on value and outcomes
  • Enterprise mindset and strong ownership
  • Role models Novartis leadership behaviors
  • Builds trust through transparent communication, clear accountability, and consistent delivery
  • Strong AI and digital fluency
  • Uses enterprise tools to enhance insight generation, decision making, and team productivity

Tasks

  • Develop and implement pharmacology strategies
  • Support late clinical development of new medicines
  • Collaborate with interdisciplinary PK Science teams
  • Integrate PKS strategies into project plans and discussions
  • Represent PK Sciences in project teams and regulatory interactions
  • Contribute to drug candidate development across research and commercial stages
  • Elucidate PK/PD relationships and develop dosing strategies
  • Design and analyze nonclinical and clinical studies
  • Provide PK, dosage, and PK/PD components of study protocols
  • Author pharmacokinetic and clinical pharmacology sections of regulatory documents
  • Prepare responses to Health Authority questions
  • Collaborate with clinicians on study design and data interpretation
  • Use AI and ML for molecular design and data automation
  • Drive integrative perspectives on ADME/clinical pharmacology properties

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Artificial intelligence (AI)
  • Machine Learning (ML)
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