Overview
In this role you apply AI-driven strategies to advance clinical pharmacology support for transformative medicines. You will shape AI-enabled solutions across PKS/clinical pharmacology, accelerating deliverables and enabling data-driven decisions. You collaborate across PK science, ADME/BA, and Modeling & Simulation to integrate PK insights into development plans. The position sits within Translational Medicine and offers opportunities to impact bench-to-bedside translation.
Pay / Benefits
- health, life and disability benefits
- 401(k) with company contribution and match
- generous paid time off (vacation, personal days, holidays)
- performance-based incentive
- eligibility for annual equity awards
- comprehensive benefits package
Responsibilities
- Identify and implement high-value AI use cases to improve PKS planning, analyses and decision quality
- Represent PK Sciences in project teams and interactions with stakeholders and regulatory agencies
- Provide pharmacokinetic/pharmacology input to drug candidates across Research, Development and Commercial continuum
- Collaborate with teams to use AI to accelerate understanding of PK/PD relationships and dosing strategies
- Champion AI-enabled preparation of study protocols, reports and regulatory documents (IND/IMPDs, NDA/BLA)
- Foster interdisciplinary collaboration among PKS, ADME/BA, M&S via PK science sub-teams
- Model AI/ML approaches to enable data automation and regulatory document authoring
- Work with clinicians to integrate PKS insights into study design and decision-making
Key requirements
- Ph.D. or Pharm.D. with pharmacokinetics/drug metabolism background
- 0–2 years in drug discovery/development (academic, CRO, biotech or pharma)
- 2+ years in a lead role overseeing ADME/DMPK in clinical development (for Principal Scientist II) or 4+ years for Senior Principal Scientist
- Extensive PK knowledge with PK/PD evaluation and cross-functional team experience
- Experience in global, matrixed project environments
- Strong oral and written communication skills
- strong communication skills
- cross-functional collaboration
- problem-solving mindset
- Artificial intelligence (AI) and machine learning approaches
- PK/PD modeling and simulation (M&S)
- ADME/DMPK expertise
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