Senior Director of QSP

EPM is currently partnered with a high-class orginization that's recognized as a leader in the field of quantitative pharmacology and biomedical modeling. It operates as a science-first, mission-driven company that partners with pharmaceutical and biotech organizations to advance model-informed drug development. With a strong foundation in pharmacometrics, systems pharmacology, and data science, the team delivers innovative solutions that support decision-making across all stages of the drug development lifecycle.

About the Role

We are looking to connect with a Senior Director of Quantitative Systems Pharmacology (QSP) to lead and expand a dynamic team of scientists and modelers. This role is ideal for a strategic thinker with deep expertise in QSP, a passion for translational science, and a desire to shape the future of model-informed drug development.

Key Responsibilities

• Provide scientific and strategic leadership for QSP initiatives across a diverse portfolio of therapeutic areas.
• Lead the design, development, and application of QSP models to support decision-making in drug discovery and development.
• Collaborate cross-functionally with pharmacometrics, clinical pharmacology, biostatistics, and therapeutic area leads to integrate QSP into broader modeling and simulation strategies.
• Mentor and manage a team of QSP scientists, fostering a culture of innovation, collaboration, and scientific excellence.
• Represent the organization in external collaborations, regulatory interactions, and scientific conferences.
• Contribute to business development efforts by identifying opportunities for QSP applications and supporting proposal development.

Qualifications

• Ph.D. in Systems Pharmacology, Pharmacokinetics, Biomedical Engineering, Applied Mathematics, or a related field.
• 10+ years of experience in QSP modeling, with a strong track record of impactful contributions to drug development.
• Proven leadership experience, including team management and strategic planning.
• Expertise in mechanistic modeling, differential equations, and simulation platforms (e.g., MATLAB, SimBiology, Monolix, R, Python).
• Excellent communication skills, with the ability to convey complex scientific concepts to diverse audiences.
• Experience working in a consulting, CRO, or collaborative research environment is a plus.