Associate Director – QSP Quantitative Systems Pharmacology

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.

Perform job duties independently with minimal supervision, and mentor others to develop similar capabilities.

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.

Track record of productivity, with evidence of independence in leading scientific projects. 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.