Director, Clinical Pharmacology and Translational Modeling

Eli Lilly Eli Lilly · Pharma · Boston, MA

This role focuses on clinical pharmacology and translational modeling for gene editing therapeutics in the cardiovascular space. It involves leading the development and execution of strategies across preclinical and clinical development, including dose selection and regulatory filings. The role utilizes advanced modeling techniques like PBPK, population PK/PD, QSP, and exposure-response analysis to inform drug development decisions and regulatory submissions.

What you'd actually do

  1. Lead the development and execution of comprehensive clinical pharmacology and pharmacometrics strategies for LNP-delivered gene editing therapeutics, spanning preclinical-to-clinical translation, dose selection, and regulatory filing.
  2. Develop and apply preclinical translational models, including PBPK and semi-mechanistic PK/PD models to predict human pharmacokinetics and inform first-in-human dose projections.
  3. Design and implement population pharmacokinetic and exposure-response analyses using NONMEM, STAN, nlmixr2, or Monolix to optimize Phase 2/3 dose regimens.
  4. Author and review clinical pharmacology sections for IND, NDA/BLA submissions and regulatory briefing documents.
  5. Represent the organization in interactions with global regulatory agencies (FDA, EMA, PMDA) on clinical pharmacology, translational modeling, and MIDD strategies.

Skills

Required

  • Ph.D. in Pharmaceutical Sciences, Pharmacology, Pharmacometrics, Quantitative Pharmacology, Chemical/Biomedical Engineering, or a related quantitative field.
  • Minimum of 10+ years of pharmaceutical or biotechnology industry experience in clinical pharmacology and pharmacometrics.
  • Demonstrated scientific leadership across preclinical and clinical development.
  • Population PK/PD modeling
  • NONMEM, STAN, nlmixr2, or Monolix
  • R programming
  • PBPK platforms
  • Regulatory submissions (IND, NDA, BLA)
  • Interactions with global regulatory agencies (FDA, EMA, PMDA)
  • ICH guidelines
  • FDA guidance on MIDD
  • QSP modeling platforms
  • Bayesian methods
  • optimal designs

Nice to have

  • Experience with LNP or RNA-based therapeutics
  • Experience with gene editing and gene therapy modalities
  • Experience with external modeling and simulation partners

What the JD emphasized

  • Minimum of 10+ years of pharmaceutical or biotechnology industry experience in clinical pharmacology and pharmacometrics, with demonstrated scientific leadership across preclinical and clinical development.
  • Track record of authoring clinical pharmacology components for regulatory submissions (IND, NDA, BLA) and successful interactions with the FDA, EMA, or other global agencies.
  • In-depth understanding of ICH guidelines, FDA guidance on MIDD, and evolving regulatory expectations for gene editing and gene therapy modalities.