Overview

Your role: As the Associate Scientific Director in Translational Quantitative Pharmacology, you will play a pivotal role in shaping Model Informed Drug Development (MIDD) strategies throughout the R&D lifecycle. You will be responsible for all TQP assignments either executed internally or in collaboration with external TQP related CROs by providing close scientific and technical supervision. You will be expected to manage multiple projects simultaneously and participate in discussions and presentations. You will be responsible for developing quantitative mechanism-based PK/PD models that inform critical decisions from lead optimization to clinical proof of concept, particularly within the immunology and oncology pipelines. Your role will also involve performing human PK predictions and designing pre-clinical PK/PD experiments to support development efforts. You will interact with project team members, communicate results of model-based analyses and foster a collaborative environment. By implementing innovative modeling and simulation platforms, you will ensure that the right drug is administered to the right patient at the right dosage. Your contributions will extend to preparing and presenting documentation for internal and external stakeholders, enhancing our program strategy and impact.

Responsibilities

• Manage all TQP assignments either internally or in collaboration with external TQP related CROs, providing close scientific and technical supervision.
• Manage multiple projects simultaneously and participate in discussions and presentations.
• Develop quantitative mechanism-based PK/PD models that inform decisions from lead optimization to clinical proof of concept, particularly in the immunology and oncology pipelines.
• Perform human PK predictions and design pre-clinical PK/PD experiments to support development efforts.
• Interact with project team members, communicate results of model-based analyses, and foster a collaborative environment.
• Implement innovative modeling and simulation platforms to help ensure appropriate dosing.
• Prepare and present documentation for internal and external stakeholders to enhance program strategy and impact.

Qualifications

• Minimum of 5 years of experience in industry and/or academia in a relevant field.
• PhD in Pharmacokinetics, Pharmaceutical Sciences, Biomedical/Chemical Engineering, Applied Mathematics, or a related discipline, with a proven track record in modeling and simulation.
• Fluent in English with knowledge of Quantitative Systems Pharmacology principles.
• Hands-on experience in mathematical modeling of pharmacologic effects using mechanism-based models with software such as MATLAB/SimBiology, NONMEM, or R.
• Experience in translational PK/PD modeling and simulation, including QSP models, in research and early clinical development.
• Understanding of biology and pharmacology principles, particularly in oncology, immunology, or immuno-oncology.
• Ability to rapidly assimilate complex biological knowledge and translate it into multi-scale mathematical models.
• Excellent communication skills to translate modeling outcomes effectively for research and development projects.