Director/Senior Director, ADMET & PK/PD Modeling

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.

Qualifications

• 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.
• Additional Skills/Preferences: 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.