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QSP Research Scientist

Job Post Index 229D7A-Sy##
Location Lawrenceville, NJ
Description: Job Description
  • Drive development and application of novel QSP Immunology models to facilitate back-translation efforts from internal late development programs.
  • Function as part of team to develop and rigorously assess the functionality, feasibility, efficiency and validity of new models.
  • Conduct extensive literature review to identify suitable mechanistic elements, interactions, rate constants and sub-modules for incorporation into larger systems (pharmacodynamic and efficacy) models.
  • Leverage algorithms for parameter optimization and sensitivity analysis.
  • Analyze model predictions and identify suitable strategies to resolve issues (whenever occur) pertaining to model performance and inaccuracy.
  • Network with experts in Translational Medicine, Discovery Biology, Clinical Development, and other groups to share learning's that maximize the translational value of QSP modeling.
  • Participate in internal scientific (QSP-related) discussions.
  • Build and maintain QSP expertise through a personal track record of publication, attendance/participation in conferences, scientific workshops, etc.
Skills: Qualifications
  • Ph.D. in Engineering, Mathematics, Bioinformatics, Pharmacometrics, Systems Biology/Pharmacology or a related field with a proven record of productivity as demonstrated by publications and conference presentations.
  • Demonstrated experience in Computational Systems Biology field.
  • Excellent understanding of theory, principles and statistical aspects of advanced mathematical modeling and simulation, including numerical methods, parameter estimation/optimization, and ordinary differential equations (ODEs).
  • Experience in building, validating and using QSP models or deterministic models of biological pathways/systems to support basic science and/or translational clinical research would be particularly desirable.
  • Excellent oral and written communication skills and the ability to interact effectively with scientists in other disciplines with a positive, collegial and collaborative attitude.
  • Hands-on experience with modeling software like MATLAB is required.
  • Experience with general programming and data analysis tools/languages such as Python, R is desirable.
  • Ability to learn new areas of biological sciences and build on solid foundation of quantitative skills to develop mechanistic disease/pharmacology models.
  • Good understanding of the basic principles of pharmacokinetics and pharmacodynamics.
  • Previous (academic or industry) experience in QSP or a closely related field are highly desired

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