Jobs · Information Technology · New Jersey

Associate Director - QSP Quantitative Systems Pharmacology

Sanofi · Morristown, NJ · 2 wk ago
HybridInformation TechnologyFull-time

Main Responsibilities

  • Interface with project team in aligning M&S needs and develop QSP strategy to address needs.
  • Develop, and implement innovative mechanistic modeling strategies to support project team M&S needs.
  • Communicate modeling predictions to key stakeholders to inform strategy and decision-making.
  • Identify and interpret preclinical and clinical data critical for model development and refinement.
  • Stay current with advances in systems pharmacology, disease modeling, and regulatory expectations for model-informed drug development.
  • Contribute to abstracts and manuscripts.

About You

  • Ph.D. in Biomedical Engineering, Applied mathematics, Systems Biology/Pharmacology or related fields.
  • ≥6 years of hands-on QSP modeling experience in the pharmaceutical or biotechnology industry, with demonstrated impact on R&D programs.
  • Strong publication record in QSP modeling commensurate with experience.
  • Hands-on experience with programming languages like Matlab/R/Julia (Matlab preferred).
  • Demonstrated experience creating and using QSP models to directly influence go/no-go decisions, and competitive differentiation within pharma setting.
  • Deep understanding of disease biology within at least one therapeutic area and experience applying QSP across multiple programs or drug modalities.
  • Experience working with heterogeneous datasets, including preclinical, and clinical data.
  • Experience with best practices for reproducible, well-documented modeling workflows.
  • Proven ability to lead modeling workstreams.
  • Proven ability clearly communicate quantitative insights to scientific and non-scientific stakeholders, tailoring complexity to the audience.

Preferred Experience

  • Mentoring junior scientists.
  • Understanding of neurology, neuroinflammation and neurodegeneration.
  • Exposure to regulatory interactions or documentation involving MIDD.

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