Associate Director, Quantitative Pharmacology

Regeneron Pharmaceuticals•Cambridge, MA

1d•$176,100 - $287,300•Hybrid

About The Position

We are seeking a highly motivated Associate Director (AD) to join the Quantitative Pharmacology (QP) group. The AD will lead model-informed drug development strategies supporting one or more therapeutic areas across modalities including antibodies, siRNA, and gene therapies. This role combines scientific depth with cross-functional leadership to inform dose selection, trial design, and regulatory strategy from early development through submission.

Requirements

PhD in Quantitative Pharmacology, Pharmacometrics, Engineering, or a related field
6+ years of post-doctoral or industry experience; or MS with 9+ years of relevant experience.
Demonstrated expertise in population PK/PD, exposure–response, or mechanistic modeling (systems biology, or QSP) using tools such as NONMEM, Monolix, Simulx, MATLAB/Simbiology and R.
Proven track record of delivering analyses supporting regulatory submissions and engaging directly with agencies (e.g., FDA, EMA, PMDA).
Hands-on experience with a broad range of quantitative and computational tools and a strong publication record.
Exceptional communication and interpersonal skills, with the ability to influence and partner effectively across technical and non-technical teams.

Responsibilities

Driving model-informed development (MIDD) and pharmacometrics strategies in partnership with Clinical Pharmacology, Biostatistics, Clinical and Translational teams to support regulatory and clinical decision-making.
Leading the QP evaluation of one or more assets, accountable for timely delivery of population PK/PD, exposure–response, and translational modeling analyses.
Representing QP at program and governance meetings, communicating quantitative insights clearly to non-modeling audiences.
Contributing to regulatory interactions and authoring key components of regulatory documents related to QP (e.g., IB, briefing books, etc.).
Mentoring and developing junior scientists and fostering a culture of scientific rigor and collaboration.
Identifying and implementing process improvements, new modeling approaches, and innovative quantitative tools to enhance efficiency and impact.
Ensuring analyses and documentation are of the highest scientific quality and regulatory compliance.