Director/Senior Director, ADMET & PK/PD Modeling
Eli Lilly and Company
August 23, 2026
Remote friendly (Indianapolis, IN)
United States
Clinical Research and Development
Responsibilities:
- Build and validate predictive models across key ADMET and PK/PD endpoints (clearance, permeability, solubility, metabolic stability, DDI risk, transporter liabilities, exposure–toxicity relationships, PK/PD) grounded in mechanistic understanding and designed for partner use.
- Develop translational modeling approaches including PBPK, IVIVE, and PK/PD simulation to bridge preclinical and clinical settings and generate actionable predictions for biotech partners across diverse programs and modalities.
- Develop mechanistic and data-driven models for tissue distribution, volume of distribution, plasma protein binding, and blood-brain barrier penetration; calibrate across relevant species for translatable human predictions.
- Translate complex ADMET and PK/PD science into practical, interpretable outputs and workflows; create documentation, decision frameworks, and companion guidance for partners.
- Define data requirements and validation approaches to ensure models are scientifically sound, reproducible, and fit for purpose; identify data gaps and collaborate on targeted experimental/modeling initiatives.
- Leverage AI/agentic tools to automate data pipelines, improve model interpretability, and streamline partner output delivery.
- Coach junior scientists and contribute to TuneLab’s ADMET and PK/PD modeling capabilities.
Basic Qualifications:
- PhD in Pharmaceutical Sciences, Pharmacokinetics, Pharmacometrics, Clinical Pharmacology, Drug Metabolism, Toxicology, or related STEM.
- 7+ years’ relevant experience in ADME/PKPD, Pharmacometrics, Translational Medicine, or closely related field.
Additional Skills/Preferences:
- Hands-on modeling platform experience (e.g., SimCYP, GastroPlus, PK-Sim, NONMEM, Monolix, R, Matlab).
- Knowledge of medicinal chemistry and/or toxicology.
- Small-molecule discovery experience (Beyond-Rule-of-Five; pan-modality chemotypes).
- Strong communication skills; track record in pharmacokinetics/pharmacodynamics/ADMET/pharmaceutical sciences.
- Build and validate predictive models across key ADMET and PK/PD endpoints (clearance, permeability, solubility, metabolic stability, DDI risk, transporter liabilities, exposure–toxicity relationships, PK/PD) grounded in mechanistic understanding and designed for partner use.
- Develop translational modeling approaches including PBPK, IVIVE, and PK/PD simulation to bridge preclinical and clinical settings and generate actionable predictions for biotech partners across diverse programs and modalities.
- Develop mechanistic and data-driven models for tissue distribution, volume of distribution, plasma protein binding, and blood-brain barrier penetration; calibrate across relevant species for translatable human predictions.
- Translate complex ADMET and PK/PD science into practical, interpretable outputs and workflows; create documentation, decision frameworks, and companion guidance for partners.
- Define data requirements and validation approaches to ensure models are scientifically sound, reproducible, and fit for purpose; identify data gaps and collaborate on targeted experimental/modeling initiatives.
- Leverage AI/agentic tools to automate data pipelines, improve model interpretability, and streamline partner output delivery.
- Coach junior scientists and contribute to TuneLab’s ADMET and PK/PD modeling capabilities.
Basic Qualifications:
- PhD in Pharmaceutical Sciences, Pharmacokinetics, Pharmacometrics, Clinical Pharmacology, Drug Metabolism, Toxicology, or related STEM.
- 7+ years’ relevant experience in ADME/PKPD, Pharmacometrics, Translational Medicine, or closely related field.
Additional Skills/Preferences:
- Hands-on modeling platform experience (e.g., SimCYP, GastroPlus, PK-Sim, NONMEM, Monolix, R, Matlab).
- Knowledge of medicinal chemistry and/or toxicology.
- Small-molecule discovery experience (Beyond-Rule-of-Five; pan-modality chemotypes).
- Strong communication skills; track record in pharmacokinetics/pharmacodynamics/ADMET/pharmaceutical sciences.