Build and validate predictive models across key ADMET and PK/PD endpoints.
Develop translational modeling approaches to 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.
Translate complex ADMET and PK/PD science into practical, interpretable model outputs and workflows.
Define data requirements and validation approaches to ensure models are scientifically sound.
Leverage AI and agentic tools to automate data pipelines and streamline delivery of outputs to partners.

PhD in Pharmaceutical Sciences, Pharmacokinetics, Pharmacometrics, Clinical Pharmacology, Drug Metabolism, Toxicology, or a related STEM discipline.
7+ years of relevant experience in ADME/PKPD, Pharmacometrics, Translational Medicine, or a closely related field.
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.

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
well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)

Director, ADMET & PK/PD Modeling

Key skills