Hiring: Principal Scientist, Translational Quantitative Pharmacology Company: EMD Serono, Inc. Location: Billerica, MA Job Posted Time: 2026-09-11 11:46:27 Target Skills & Keywords : MATLAB, R About the job Experience: •5 years in industry and/or academia in a relevant background with proven track record of applying modeling and simulation approaches to biological problems Required Skills: •This position 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. •Lead and oversee performing human PK predictions and quantitative DDI predictions, the design and analysis of pre-clinical PK/PD experiments and data to support preclinical development, and translational PK/PD analyses to support FIH dose estimates for all modalities of interest. •Work in a dynamic team with frequent interactions, both within the team and with associated functions, and will be responsible for the development and implementation of innovative modeling and simulation platforms/strategy that ensure that the right drug is administered to the right patient at the right dosage. •Contribute to the preparation and presentation of both internal and external documentation (e.g. Qualifications: •A PhD in Pharmacokinetics, Pharmaceutical Sciences, Biomedical/Chemical Engineering, Applied Mathematics, or a related discipline •A minimum of 5 years in industry and/or academia in a relevant background with proven track record of applying modeling and simulation approaches to biological problems •Position requires both domestic and international travel up to 20% of time •Sound knowledge of the theory and principles of Quantitative Systems Pharmacology plus hands-on competence in mathematical modeling of pharmacologic effects with mechanism-based models using relevant software or programming languages (e.g., MATLAB/SimBiology, NONMEM, R, Monolix). •Knowledge of basic principles of biology and pharmacology at the organismal, cellular and molecular level, preferably in one or more of the following areas: oncology, immuno-oncology, immunology •Demonstrated capacity to rapidly assimilate knowledge of complex biology of drug action for novel mechanisms and transform such understanding into multi-scale mathematical models, with requisite mathematical and computational proficiency •Demonstrated capacity to mentor, educate and explain modeling concepts and approaches to colleagues within QP/CMS and the larger organization as well •Flexibility and keen pursuit of innovation throughout all phases of the drug discovery and development process •A desire to develop and grow by way of taking responsibility and engaging in additional tasks and operations. •Demonstrated capacity to work independently and deliver results in a timely manner Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!