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NONovartis Pharma AG

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

Basel
Full-timeWith Home OfficeEntry Level
AI/ML
Data Science

Developing translational and clinical pharmacology strategies for new medicines. Ph.D. or Pharm.D. with 2+ years in lead ADME/DMPK strategy role required. Collaboration in global project teams, late clinical development support.

Requirements

  • Ph.D. / Pharm.D. with relevant experience
  • 0-2 years of experience in drug discovery/development
  • 2+ years experience in lead role overseeing ADME/DMPK strategy
  • In-depth knowledge of pharmacokinetics, drug metabolism, PK/PD evaluation
  • Experience in project teams (preferably global)
  • Awareness of recent developments in drug development/regulatory sciences
  • Experience in cross-functional, matrixed, project-team environment
  • Strong oral and written communication skills
  • Hands-on project experience with AI/ML approaches (plus)
  • Disciplined execution and continuous improvement
  • Strong focus on value and outcomes
  • Enterprise mindset and strong ownership
  • Prioritizing resources and decisions for Novartis/patient impact
  • Role models Novartis leadership behaviors
  • Continuous self reflection and openness to feedback
  • Builds trust through transparent communication
  • Clear accountability and consistent delivery
  • Strong AI and digital fluency
  • Using enterprise tools for insight generation/decision making

Tasks

  • Develop and implement translational or clinical pharmacology strategies
  • Support transformative new medicines through late clinical development
  • Collaborate with interdisciplinary PK Science disciplines and teams
  • Integrate PKS strategies into project plans and scientific 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 PK and PK/PD data for compound development
  • Provide PK, dosage, and PK/PD components for study protocols and reports
  • Author pharmacokinetic, clinical pharmacology, and biopharmaceutics sections of regulatory documents
  • Prepare responses to Health Authority questions
  • Collaborate with clinicians on study design, data interpretation, and project decisions
  • Utilize AI and ML for model-guided molecular design and data automation
  • Integrate predictive models into regulatory document preparation

Education

  • Bachelor's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • AI
  • ML
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