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, and PK/PD), grounded in mechanistic understanding and designed for partner use.
- Develop translational modeling approaches (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 distribution models for tissue distribution, volume of distribution, plasma protein binding, and blood-brain barrier penetration; calibrate across relevant species and enable translatable human predictions.
- Translate complex ADMET and PK/PD science into practical, interpretable model outputs and workflows; create documentation, decision frameworks, and companion guidance for partner teams.
- Define data requirements and validation approaches to ensure models are scientifically sound, reproducible, and fit for purpose; identify training data gaps and collaborate to address them through targeted initiatives.
- Leverage AI and agentic tools to automate data pipelines, improve model interpretability, and streamline partner output delivery across the TuneLab federated network.
- Provide coaching to 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 discipline.
- 7+ years of relevant experience in ADME/PKPD, Pharmacometrics, Translational Medicine, or closely related field.
Additional Skills/Preferences:
- Hands-on experience with modeling platforms (e.g., SimCYP, GastroPlus, PK-Sim, NONMEM, Monolix, R, Matlab).
- Extensive knowledge of medicinal chemistry and/or toxicology principles.
- Experience with small molecule discovery (Beyond-Rule-of-Five, pan-modality chemotypes).
- Strong communication skills to make complex quantitative science accessible.
- Track record of scientific contributions in pharmacokinetics, pharmacodynamics, ADMET, or pharmaceutical sciences.
Benefits/Compensation:
- Anticipated wage: $177,000 - $308,000.
- Full-time employees may be eligible for a company bonus (depending on company and individual performance).
- Comprehensive benefits (e.g., 401(k), pension, vacation, medical/dental/vision/prescription coverage, flexible benefits, life insurance/death benefits, time off/leave, and well-being benefits including EAP/fitness).
Application Instructions:
- If you require accommodation to submit a resume, complete the workplace accommodation request form: https://careers.lilly.com/us/en/workplace-accommodation.