Director/Senior Director, ADMET & PK/PD Modeling
Eli Lilly and Company
4 months ago
Remote friendly (San Francisco, CA)
United States
Clinical Research and Development
Responsibilities:
- Model Development: Build and validate predictive models across key ADMET and PK/PD endpoints (clearance, permeability, solubility, metabolic stability, DDI risk, transporter liabilities, exposure–toxicity relationships, and PK/PD) with mechanistic grounding and designed for partner use.
- Translational Modeling: Develop translational modeling approaches (PBPK, IVIVE, PK/PD simulation) to bridge preclinical and clinical settings and generate actionable predictions for biotech partners across diverse programs and modalities.
- Distribution Modeling: 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 human translatability.
- Partner Enablement & Usability: Translate ADMET/PK/PD science into practical, interpretable model outputs and workflows; create documentation, decision frameworks, and companion guidance for varying partner quantitative expertise.
- Data Strategy & Validation: Define data requirements and validation approaches; identify training data gaps and collaborate to address them via targeted experimental or modeling initiatives.
- AI & Tool Integration: Use AI/agentic tools to automate data pipelines, improve model interpretability, and streamline output delivery across TuneLab’s federated network.
- Mentorship: Coach junior scientists and grow TuneLab’s ADMET and PK/PD modeling capabilities.
Qualifications:
- Education: PhD in Pharmaceutical Sciences, Pharmacokinetics, Pharmacometrics, Clinical Pharmacology, Drug Metabolism, Toxicology, or a related STEM discipline.
- Experience: 7+ years in ADME/PKPD, Pharmacometrics, Translational Medicine, or a closely related field.
Preferred Skills/Experience:
- Hands-on experience with modeling platforms such as SimCYP, GastroPlus, PK-Sim, NONMEM, Monolix, R, Matlab.
- Knowledge of medicinal chemistry and/or toxicology principles.
- Experience with small molecule discovery (Beyond-Rule-of-Five and pan-modality chemotypes).
- Strong communication skills to make complex quantitative science accessible.
- Track record of scientific contributions to pharmacokinetics, pharmacodynamics, ADMET, or pharmaceutical sciences.
Benefits:
- Anticipated pay range: $177,000–$308,000.
- Company bonus for eligible full-time employees (depending on company and individual performance).
- Eligible benefits may include 401(k), pension, vacation, medical/dental/vision/prescription coverage, flexible benefits (e.g., healthcare/dependent day care FSAs), life insurance/death benefits, time off/leave benefits, and well-being benefits (e.g., employee assistance, fitness, clubs/activities).
Application instructions:
- If you require accommodation to submit a resume, complete the workplace accommodation request form: https://careers.lilly.com/us/en/workplace-accommodation
- Model Development: Build and validate predictive models across key ADMET and PK/PD endpoints (clearance, permeability, solubility, metabolic stability, DDI risk, transporter liabilities, exposure–toxicity relationships, and PK/PD) with mechanistic grounding and designed for partner use.
- Translational Modeling: Develop translational modeling approaches (PBPK, IVIVE, PK/PD simulation) to bridge preclinical and clinical settings and generate actionable predictions for biotech partners across diverse programs and modalities.
- Distribution Modeling: 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 human translatability.
- Partner Enablement & Usability: Translate ADMET/PK/PD science into practical, interpretable model outputs and workflows; create documentation, decision frameworks, and companion guidance for varying partner quantitative expertise.
- Data Strategy & Validation: Define data requirements and validation approaches; identify training data gaps and collaborate to address them via targeted experimental or modeling initiatives.
- AI & Tool Integration: Use AI/agentic tools to automate data pipelines, improve model interpretability, and streamline output delivery across TuneLab’s federated network.
- Mentorship: Coach junior scientists and grow TuneLab’s ADMET and PK/PD modeling capabilities.
Qualifications:
- Education: PhD in Pharmaceutical Sciences, Pharmacokinetics, Pharmacometrics, Clinical Pharmacology, Drug Metabolism, Toxicology, or a related STEM discipline.
- Experience: 7+ years in ADME/PKPD, Pharmacometrics, Translational Medicine, or a closely related field.
Preferred Skills/Experience:
- Hands-on experience with modeling platforms such as SimCYP, GastroPlus, PK-Sim, NONMEM, Monolix, R, Matlab.
- Knowledge of medicinal chemistry and/or toxicology principles.
- Experience with small molecule discovery (Beyond-Rule-of-Five and pan-modality chemotypes).
- Strong communication skills to make complex quantitative science accessible.
- Track record of scientific contributions to pharmacokinetics, pharmacodynamics, ADMET, or pharmaceutical sciences.
Benefits:
- Anticipated pay range: $177,000–$308,000.
- Company bonus for eligible full-time employees (depending on company and individual performance).
- Eligible benefits may include 401(k), pension, vacation, medical/dental/vision/prescription coverage, flexible benefits (e.g., healthcare/dependent day care FSAs), life insurance/death benefits, time off/leave benefits, and well-being benefits (e.g., employee assistance, fitness, clubs/activities).
Application instructions:
- If you require accommodation to submit a resume, complete the workplace accommodation request form: https://careers.lilly.com/us/en/workplace-accommodation