Director, Quantitative Systems Pharmacology

About the role

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai’s human health care (hhc) mission. We’re a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer’s disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you.

Responsibilities

• Develop, implement, and apply QSP models to understand diseases, their pathways, and their progressions.
• Evaluate DHBL drug candidates and treatment modalities to predict their effects and optimize therapeutic strategies (e.g., the selection of target tumor types and populations), and to support clinical introduction including first-in-human dose selection.
• Use and improve existing Neurology QSP Platforms to gain insights into the causal relationships between biological and drug-level responses, enhancing the understanding of drug-target interactions and disease mechanisms.
• Develop new QSP models and platforms as they are needed.
• Lead DHBL preclinical and early clinical QSP development strategy to support optimal dose selection with simulations based on mechanistic understanding to assess efficacy and safety.
• Advocate for model-informed drug discovery and development (MIDD) approaches.
• Provide scientific leadership, present research at scientific conferences, and integrate MIDD strategies into Eisai’s R&D programs to improve efficiency and decision-making.
• Foster collaboration across functional groups and promote the development of new modeling tools and methods.
• Advance the adoption of QSP capabilities to improve the predictive power of these tools to support the design and optimization of drug combinations.
• Manage the expectations/timelines of assigned M&S work for the relevant project teams.
• Use mathematical, computational, and statistical tools to analyze and interpret large, complex data sets to gain insights into the causal relationships between drug-target interactions and disease mechanisms.
• Provide scientific/strategic expertise across multiple therapeutic areas to support decision-making in the conversion of discovery to clinical through the design, development, and execution of quantitative mechanistic models to support the translational process.

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 the principles and theoretical aspects of applied mathematical modeling, including numerical methods, ordinary differential equations (ODEs), partial differential equations (PDEs), parameter estimation/optimization, and how these tools can be applied in the development of 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 to use a solid foundation of quantitative skills to apply newly acquired knowledge to build mechanistically sound QSP models.

Pay

The annual base salary range is $208,200–$273,200. The position is eligible to participate in the Eisai Inc. Annual Incentive Plan and Eisai Inc. Long Term Incentive Plan. Final pay determinations depend on experience, education, knowledge, and skills.

Benefits

Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://careers.eisai.com/us/en/compensation-and-benefits. Certain other benefits may be available for this position; please discuss any questions with your recruiter.