Job Title

Role Summary As a member of the DMPK group, design and implement mechanistic PK/PD models in support of Neurocrine’s pre‑clinical biologics portfolio, including peptide, antibody, and antibody‑drug conjugate. Represent the PK/PD modeling discipline on multi‑disciplinary drug discovery project teams and integrate PK/PD and target engagement considerations into team strategy and decision‑making. Collaborate with stakeholders to support the translational research strategy and enhance capabilities of the DMPK group by implementing novel approaches and technologies. Responsibilities Independently develop PK/PD models that enhance decision‑making for biologics target and candidate selections and inform translational research strategies for biologics Use modeling and simulation to predict human efficacious dose/dose regimen and influence selection of Development Candidate Design pharmacokinetic studies, analyze and interpret data, and clearly communicate results to teams and management Leverage literature data or propose fit for purpose experiments to validate models or test model‑generated hypotheses Effectively collaborate with scientists within and outside the functional area (biologists, protein engineering scientists, clinical pharmacologists) Contribute to the overall translational research strategy by integrating PK/PD and target engagement considerations into team strategy and decision‑making Prepare clear technical reports and oral presentations Develop broad knowledge in the field of expertise and enhances internal capabilities of the group Qualifications PhD in Biochemistry, Pharmacokinetics, Pharmaceutical Sciences, Biochemical Engineering or closely related discipline with a specific focus on PK and PK/PD modeling and 7+ years of experience in the industrial discovery and development of small and large molecular therapeutics; or MS with 13+ years of industry experience Theoretical and practical knowledge of pharmacokinetics and PK/PD modeling Experience using one or more commercially available modeling and simulation platforms (NONMEM, MATLAB, SimBiology, Simcyp etc.) Experience in mechanism‑based PK/PD modeling of therapeutic proteins is highly desired Proficiency with scriptable modeling and simulation language (e.g., R, MATLAB, Julia) Proficiency with PBPK modeling applied to biologics research and developmentExperience with computational tools used for validation and verification of mechanism‑based models (e.g., parameter estimation, sensitivity analysis, virtual population/patient simulations) Evaluate and apply innovative PK and PK/PD approaches to predict human PK, using modeling as a tool to help generate hypotheses, design studies, inform clinical plans, and support registration Working knowledge in immunology is highly desired Ability to build effective working relationships and influence others both inside and outside the department #J-18808-Ljbffr