Senior Principal Scientist QSP Modelling

In this role you will lead QSP modeling projects within multidisciplinary teams to support model-informed decisions in clinical drug development. You will develop, qualify, and apply mechanistic QSP models that integrate non-clinical, translational, biomarker, and clinical data. You will translate biological knowledge into quantitative models, communicate uncertainties and limitations, and drive strategy for QSP across development programs. You will provide scientific leadership and foster cross-functional collaboration while pushing innovation in modeling and digitalization.

• comprehensive benefits and wellbeing package

• Lead and execute clinical QSP modeling projects within multidisciplinary teams to drive model-informed decision making
• Develop, qualify, and apply fit-for-purpose QSP models integrating various data streams
• Translate biological knowledge into quantitative model structures, and communicate limitations and uncertainties
• Define and drive QSP modeling strategies aligned with project objectives and development decisions
• Provide independent advice on complex mechanistic modeling challenges in cross-functional discussions
• Offer scientific leadership throughout model development, qualification, and communication activities
• Oversee external modeling activities to ensure scientific excellence and strategic alignment
• Foster collaboration across internal teams and external partners to advance modeling initiatives

• PhD or equivalent advanced degree in systems pharmacology, pharmacometrics, clinical pharmacology, computational biology, bioengineering, mathematics, or related quantitative field
• Several years of hands-on professional QSP modeling experience in pharma, regulatory, or academia
• In-depth knowledge of mechanistic modeling in clinical drug development, including calibration, qualification, simulation, sensitivity analysis, interpretation
• Experience with R and/or QSP platforms such as MATLAB/SimBiology, Julia, OSP Suite; statistical methods for nonclinical and clinical data beneficial
• Strong ability to communicate complex modeling concepts to multidisciplinary audiences
• Proven collaboration skills in international, multidisciplinary teams and with stakeholders, CROs, vendors, and leadership
• Fluent in written and spoken English

• clear and effective communication
• cross-functional collaboration
• scientific leadership
• QSP modeling
• mechanistic modeling in drug development
• model development, calibration, qualification, simulation, sensitivity analysis