Director, Quantitative Systems Pharmacology
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Job Description
Director leading quantitative systems pharmacology modeling for Eisai, a pharmaceutical company developing neurology and oncology medicines. Supporting drug discovery, dose selection, and clinical development decisions.
Responsibilities:
- Develop, implement, and apply QSP models to understand diseases, pathways, and disease progressions
- Evaluate drug candidates and treatment modalities to predict effects and optimize therapeutic strategies
- Support clinical introduction, including first-in-human dose selection
- Use and improve existing Neurology QSP Platforms and develop new QSP models and platforms as needed
- Lead preclinical and early clinical QSP development strategy to support dose selection through mechanistic simulations
- Advocate for model-informed drug discovery and development (MIDD) approaches
- Provide scientific leadership and present research at scientific conferences
- Integrate MIDD strategies into R&D programs to improve efficiency and decision-making
- Foster cross-functional collaboration and advance QSP capabilities and modeling tools
- Manage expectations and timelines of assigned modeling and simulation work
- Use mathematical, computational, and statistical tools to analyze and interpret large, complex datasets
- Provide scientific and strategic expertise across therapeutic areas to support translational decision-making
Requirements:
- PhD, MD-PhD and/or PharmD in Bioengineering, Systems Biology, Applied Mathematics, Computational Biology, Pharmacometrics, Chemical Engineering, Pharmaceutical Sciences, or a related quantitative discipline
- Deep knowledge of applied mathematical modeling, including numerical methods, ordinary differential equations (ODEs), partial differential equations (PDEs), parameter estimation/optimization, and complex biochemical models
- Deep expertise in quantitative systems pharmacology (QSP), mechanistic modeling, systems biology, and translational science
- Demonstrated experience applying QSP approaches to support drug discovery and/or clinical development programs with measurable program impact
- Strong understanding of pharmacology, physiology, immunology, molecular biology, and disease mechanisms
- Ability to learn quickly in new areas of biology and apply quantitative skills to build mechanistically sound QSP models
Benefits:
- Eligibility to participate in Eisai Inc. Annual Incentive Plan
- Eligibility to participate in Eisai Inc. Long Term Incentive Plan
- Company employee benefit programs
- Certain other benefits may be available for this position
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