Director, Quantitative Systems Pharmacology

This is a fully remote position, open to applicants in New Jersey.

📋 Description

• Design, execute, and utilize QSP models to gain insights into diseases, biological pathways, and disease trajectories.

• Assess drug candidates and treatment options to forecast outcomes and enhance therapeutic approaches.

• Assist in the clinical onboarding process, including the selection of initial human dosing.

• Enhance and utilize existing Neurology QSP Platforms while creating new QSP models and platforms as necessary.

• Direct preclinical and initial clinical QSP development strategies to aid in dose selection through mechanistic simulations.

• Promote model-informed drug discovery and development (MIDD) methodologies.

• Provide scientific leadership and share research findings at scientific conferences.

• Incorporate MIDD strategies into research and development programs to enhance efficiency and decision-making.

• Encourage cross-functional teamwork and advance QSP capabilities and modeling resources.

• Manage expectations and timelines related to assigned modeling and simulation tasks.

• Employ mathematical, computational, and statistical techniques to analyze and interpret large, intricate datasets.

• Offer scientific and strategic insights across therapeutic domains to facilitate 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 field.

• Extensive knowledge of applied mathematical modeling, including numerical methods, ordinary differential equations (ODEs), partial differential equations (PDEs), parameter estimation/optimization, and complex biochemical models.

• Profound expertise in quantitative systems pharmacology (QSP), mechanistic modeling, systems biology, and translational science.

• Proven experience in applying QSP methodologies to support drug discovery and/or clinical development initiatives with demonstrable program impact.

• Strong grasp of pharmacology, physiology, immunology, molecular biology, and disease mechanisms.

• Capability to rapidly acquire knowledge in new biological areas and apply quantitative skills to construct mechanistically robust QSP models.

🏝️ Benefits

• Eligibility to participate in the Eisai Inc. Annual Incentive Plan.

• Eligibility to participate in the Eisai Inc. Long Term Incentive Plan.

• Access to company employee benefit programs.

• Additional benefits may be available for this position.