Director/Senior Director, ADMET & PK/PD Modeling
About The Position
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Organization Overview Lilly Catalyze360 is a comprehensive approach to enabling the early-stage biotech ecosystem by democratizing access to infrastructure, expertise, and resources. Through its interconnected pillars—Lilly Ventures, Lilly Gateway Labs, Lilly ExploR&D, and Lilly TuneLab—Catalyze360 strategically removes barriers that traditionally block bold science from becoming life-changing medicines, providing biotechs with flexible combinations of capital, physical lab space, R&D capabilities, AI/ML tools, and decades of enterprise learning. Lilly TuneLab is an artificial intelligence and machine learning (AI/ML) platform that provides biotech companies access to drug discovery models trained on years of Lilly's research data. Lilly estimates that this first release of AI models includes proprietary data obtained at a cost of over $1 billion, representing one of the industry's most valuable datasets used to train an AI system available to biotechnology companies. By integrating advanced in silico modelling and federated learning, we connect pioneering machine learning algorithms, substantial computational power, exclusive datasets, and Lilly’s domain-specific knowledge to drive innovation in drug discovery and facilitate access to optimal therapies for patients.
Requirements
- Education: PhD in Pharmaceutical Sciences, Pharmacokinetics, Pharmacometrics, Clinical Pharmacology, Drug Metabolism, Toxicology, or a related STEM discipline.
- Experience: 7+ years of relevant experience in ADME/PKPD, Pharmacometrics, Translational Medicine, or a closely related field.
Nice To Haves
- Hands on experience with modelling platforms used in relevant fields such as SimCYP, GastroPlus, PK-Sim, NONMEM, Monolix, R, Matlab etc.
- Extensive knowledge of medicinal chemistry and/or toxicology principles
- Experience with small molecule discovery, including Beyond-Rule-of-Five and pan-modality chemotypes.
- Strong communication skills with the ability to make complex quantitative science accessible to diverse audiences.
- Track record of scientific contributions to pharmacokinetics, pharmacodynamics, ADMET, or pharmaceutical sciences.
Responsibilities
- Model Development: Build and validate predictive models across key ADMET and PK/PD endpoints — including clearance, permeability, solubility, metabolic stability, DDI risk, transporter liabilities, exposure–toxicity relationships, and PK/PD — grounded in mechanistic understanding and designed for partner use.
- Translational Modeling: 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.
- Distribution Modeling: Develop mechanistic and data-driven models for tissue distribution, volume of distribution, plasma protein binding, and blood-brain barrier penetration. Ensure models are calibrated across relevant species and translatable to human predictions.
- Partner Enablement & Usability: Translate complex ADMET and PK/PD science into practical, interpretable model outputs and workflows. Develop clear documentation, decision frameworks, and companion guidance that make TuneLab's tools usable by partner teams with varying levels of quantitative expertise.
- Data Strategy & Validation: Define data requirements and validation approaches to ensure models are scientifically sound, reproducible, and fit for purpose. Identify training data gaps and collaborate with internal teams to address them through targeted experimental or modeling initiatives.
- AI & Tool Integration: Leverage AI and agentic tools to automate data pipelines, improve model interpretability, and streamline delivery of outputs to partners across TuneLab's federated network.
- Mentorship: Provide coaching to junior scientists and contribute to TuneLab's growing ADMET and PK/PD modeling capabilities.
Benefits
- Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance).
- In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
