PK/PD and QSP Modeler, Neuroscience – Senior Scientist, DMPK & Modeling

About the role:At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible in order to bring life-changing therapies to patients worldwide.Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a PK/PD and QSP modeler, Neuroscience – Senior Scientist in our Cambridge, MA location.Objective / Purpose:As a PK/PD and QSP modeler, Neuroscience – Senior Scientist in DMPK & Modeling, you will be empowered to interface between biology/pharmacology, chemistry/biologics, nonclinical safety assessment, drug metabolism, translational medicine, clinical pharmacology and clinical research, to influence drug discovery and development.How you will contribute:ACCOUNTABILITIESDrive decision-making in drug discovery research by building a quantitative model of novel therapeutic agents to treat various neurological diseases including neurodegeneration and neuromuscular diseases.Work on cross-functional teams with preclinical biology/pharmacology, chemistry/biologics, nonclinical safety assessment, translational medicine, clinical pharmacology and clinical research to develop a quantitative model-based understanding of the interactions of target biological pathways and novel therapeutic agents, and their impact on disease progression.Formulate and implement team-engaged right modeling & simulation strategy. Design and build translational PK/PD/efficacy and mechanistic and/or systems models to assist and accelerate decisions around drug candidate selection, study design optimization as well as biomarker selection.Enable translational predictions of human pharmacologically active/efficacious dose, dosing schedule and safety margin for clinical trials. Leverage clinical benchmarking insights from clinical comparators and/or their reverse translation.Minimum Requirements/Qualifications:MS/PhD/PharmD in chemical or biomedical engineering, pharmaceutical sciences, mathematics, physics, or equivalent area.Strong competency in building mathematical models is required (in commonly used languages such as MATLAB, SimBiology, NONMEM, Phoenix, Python, or R).At least 2 years (8 years with MS) of industry experience in mathematical modeling of biological systems.Demonstrated strong analytical skills to evaluate complex information and identify key scientific questions.Ability to communicate complex modeling results clearly and concisely to cross-functional audience is critical.Background or interest in applying modeling and simulation approaches to neurological diseases is preferred.This position is currently classified as 'hybrid' in accordance with Takeda's Hybrid and Remote Work policy.LocationsBoston, MAWorker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time

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