AI-Driven PK Lead for Clinical Pharmacology

U175 (FCRS = US175) Novartis Institutes for BioMedical Research, Inc.

Cambridge (MA)

Hybrid

USD 120,000 - 257,000

Full time

14 days+
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Job summary

Novartis Institutes for BioMedical Research, Inc. in Cambridge, MA seeks an enthusiastic PK Sciences representative to lead AI-enabled strategies transforming clinical pharmacology support for transformative medicines.

You will develop AI-based solutions across PKS/clinical pharmacology, collaborating with cross-functional teams to accelerate deliverables and integrate PKS insights into study design. The role demands strong AI fluency, leadership in ADME/ DMPK, and experience with PK/PD

Qualifications

  • Ph.D. / Pharm.D. with relevant experience in clinical pharmacology, drug metabolism and pharmacokinetics or a related background.
  • A minimum of 0-2 years of experience in drug discovery and/or development in a relevant environment (academia, CRO, biotech or Pharma).
  • 2+ years of experience preferably in a lead role overseeing ADME/DMPK project strategy in clinical development, or in AI strategy, to be considered for Principal Scientist II.
  • 4+ years of experience to be considered for Senior Principal Scientist.
  • Extensive and in-depth knowledge of pharmacokinetics including, drug metabolism and PK/PD evaluation, experience in working in project teams (preferably global) as well as 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.

Responsibilities

  • Brings strong AI and digital fluency, using enterprise tools to further strategic, scientific and operational leadership in clinical pharmacology
  • Identifies, develops and implements high‑value use cases where AI can materially improve clinical pharmacology planning, analyses and decision quality.
  • Represent the PK Sciences function in project teams, interactions with stakeholders within the organization and interactions with regulatory agencies, as appropriate
  • Proactively contributes to developing drug candidates across Research Development and Commercial continuum, providing expert pharmacokinetic / drug metabolism and clinical pharmacology input
  • Work with teams to use AI to accelerate and enhance the understanding of nonclinical and clinical PK/PD relationships and development dosing strategies and predictions
  • Champion the use of AI to accelerate and enhance the provision of , dosage, and PK/PD components of study protocols, reports, project summaries and development plans, and author pharmacokinetic/clinical pharmacology/biopharmaceutics sections of IND/IMPDs and NDA/BLAs as well as prepare appropriate responses to Health Authority questions
  • Drives close interdisciplinary collaboration among the PK Science disciplines, Drug Disposition (ADME, BA), Modeling & Simulation (M&S), through PK science sub‑teams
  • Works in close collaboration with clinicians and clinical development colleagues to integrate PKS insights into study design, data interpretation, and project decision‑making
  • Models the use of Artificial intelligence (AI) / Machine Learning (ML) approaches to enable model guided molecular design, preclinical and clinical data automation, and authoring regulatory documents.

Skills

AI strategy
Pharmacokinetics
Clinical pharmacology
Drug metabolism
Regulatory science
Cross-functional collaboration
Communication

Education

Ph.D.
Pharm.D.

Tools

AI tools
Modeling & Simulation

Job description

Novartis Institutes for BioMedical Research, Inc. in Cambridge, MA seeks an enthusiastic PK Sciences representative to lead AI-enabled strategies transforming clinical pharmacology support for transformative medicines.

You will develop AI-based solutions across PKS/clinical pharmacology, collaborating with cross-functional teams to accelerate deliverables and integrate PKS insights into study design. The role demands strong AI fluency, leadership in ADME/ DMPK, and experience with PK/PD

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