Director of Quantitative Systems Pharmacology & Modeling

Eisai US

Nutley (NJ)

Hybrid

USD 208.000 - 273.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Salary transparency

Zusammenfassung

Eisai US is seeking a Director of Quantitative Systems Pharmacology to lead mechanistic modeling efforts that integrate biology with drug discovery and clinical development. You will drive QSP strategies, lead DHBL projects, and translate data into actionable models to inform dose selection and target populations.

The role requires a PhD/MD-PhD/PharmD with deep expertise in QSP, systems biology, and translational science, and offers collaboration across global teams and significant scientific

Qualifikationen

  • PhD, MD-PhD and/or PharmD in a quantitative discipline.
  • Deep knowledge of applied mathematical modeling (ODEs, PDEs) and parameter estimation.
  • Demonstrated experience applying QSP to drug discovery or clinical development.

Aufgaben

  • Develop, implement, and apply QSP models to predict drug effects and optimize strategies.
  • Lead DHBL preclinical and early clinical QSP development to support dose selection.
  • Provide scientific leadership and present research at conferences; integrate MIDD into programs.
  • Collaborate across functional groups to advance translational understanding.

Kenntnisse

QSP modeling
Mathematical modeling
Systems biology
MIDD / model-informed drug discovery
Pharmacology & physiology knowledge

Ausbildung

PhD in Bioengineering/Systems Biology/Applied Mathematics/Pharmacometrics

Tools

Python
R
MATLAB
ODE/PDE numerical methods
Statistical analysis

Jobbeschreibung

Eisai US is seeking a Director of Quantitative Systems Pharmacology to lead mechanistic modeling efforts that integrate biology with drug discovery and clinical development. You will drive QSP strategies, lead DHBL projects, and translate data into actionable models to inform dose selection and target populations.

The role requires a PhD/MD-PhD/PharmD with deep expertise in QSP, systems biology, and translational science, and offers collaboration across global teams and significant scientific

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