Director/Senior Director, ADMET & PK/PD Modeling
Eli Lilly and Company
August 24, 2026
Remote friendly (San Francisco, CA)
United States
Clinical Research and Development
Responsibilities
- Build and validate predictive models across ADMET and PK/PD endpoints (clearance, permeability, solubility, metabolic stability, DDI risk, transporter liabilities, exposure–toxicity relationships, PK/PD) for partner use.
- Develop translational modeling approaches (PBPK, IVIVE, PK/PD simulation) to bridge preclinical and clinical settings and produce actionable predictions.
- Create mechanistic and data-driven distribution models (tissue distribution, volume of distribution, plasma protein binding, blood-brain barrier penetration) and calibrate across species for translatable human predictions.
- Enable partners by translating ADMET/PK-PD science into interpretable outputs, documentation, decision frameworks, and guidance.
- Define data requirements and validation approaches; identify training data gaps and collaborate to address them.
- Use AI and agentic tools to automate data pipelines, improve interpretability, and deliver outputs across TuneLab’s federated network.
- Coach junior scientists and expand ADMET/PK/PD modeling capabilities.
Basic Qualifications
- PhD in Pharmaceutical Sciences, Pharmacokinetics, Pharmacometrics, Clinical Pharmacology, Drug Metabolism, Toxicology, or related STEM.
- 7+ years in ADME/PKPD, Pharmacometrics, Translational Medicine, or related field.
Additional Skills/Preferences
- Hands-on experience with modeling tools (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; track record in pharmacokinetics/pharmacodynamics/ADMET.
Compensation & Benefits (if applicable)
- Anticipated base wage: $177,000 - $308,000.
- Potential company bonus.
- Comprehensive benefits program (401(k), pension, vacation, medical/dental/vision, life insurance, time off/leave, well-being benefits).
- Build and validate predictive models across ADMET and PK/PD endpoints (clearance, permeability, solubility, metabolic stability, DDI risk, transporter liabilities, exposure–toxicity relationships, PK/PD) for partner use.
- Develop translational modeling approaches (PBPK, IVIVE, PK/PD simulation) to bridge preclinical and clinical settings and produce actionable predictions.
- Create mechanistic and data-driven distribution models (tissue distribution, volume of distribution, plasma protein binding, blood-brain barrier penetration) and calibrate across species for translatable human predictions.
- Enable partners by translating ADMET/PK-PD science into interpretable outputs, documentation, decision frameworks, and guidance.
- Define data requirements and validation approaches; identify training data gaps and collaborate to address them.
- Use AI and agentic tools to automate data pipelines, improve interpretability, and deliver outputs across TuneLab’s federated network.
- Coach junior scientists and expand ADMET/PK/PD modeling capabilities.
Basic Qualifications
- PhD in Pharmaceutical Sciences, Pharmacokinetics, Pharmacometrics, Clinical Pharmacology, Drug Metabolism, Toxicology, or related STEM.
- 7+ years in ADME/PKPD, Pharmacometrics, Translational Medicine, or related field.
Additional Skills/Preferences
- Hands-on experience with modeling tools (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; track record in pharmacokinetics/pharmacodynamics/ADMET.
Compensation & Benefits (if applicable)
- Anticipated base wage: $177,000 - $308,000.
- Potential company bonus.
- Comprehensive benefits program (401(k), pension, vacation, medical/dental/vision, life insurance, time off/leave, well-being benefits).