Pharmacometrics Programming Lead

BioSpace; Village of Tarrytown (NY); Sur place; USD 129 000 - 210 000; Plein temps

Résumé du poste

Regeneron in Tarrytown, NY is seeking a Manager, Pharmacometrics Programming to provide programming leadership supporting clinical development programs and pharmacometric analyses.

You will work across multidisciplinary teams, contribute to regulatory submissions, and drive high-quality analyses while advancing standards and efficiency.

This role requires a Bachelor's degree, 7–9+ years in statistical programming in pharma, advanced SAS, and strong cross-functional collaboration.

Qualifications

• Bachelor's degree required; master's preferred.
• 7–9+ years of progressive statistical programming experience in pharma.
• Advanced SAS programming in a regulated environment.
• Strong pharmacometrics knowledge: PK, PK/PD, exposure–response.
• Experience with regulatory deliverables and CDISC data standards.
• Excellent project management and cross-functional collaboration.

Responsabilités

• Lead programming and QC for analyses across projects.
• Coordinate pharmacometrics activities with cross-functional teams.
• Create, maintain, and validate programming specifications for standardized analyses.
• Integrate data across studies for PK/PKPD analyses.
• Support regulatory requests, data analyses, publications, and conferences.
• Lead creation and validation of electronic submission deliverables.
• Partner with study teams to deliver high-quality analyses and reports.
• Drive process improvements and standards development.

Connaissances

SAS programming

Pharmacometrics

Regulatory environment

Project management

Cross-functional collaboration

Formation

Bachelor's degree

Master's degree preferred

Outils

CDISC standards

Electronic submission tools

Description du poste

Regeneron in Tarrytown, NY is seeking a Manager, Pharmacometrics Programming to provide programming leadership supporting clinical development programs and pharmacometric analyses.

You will work across multidisciplinary teams, contribute to regulatory submissions, and drive high-quality analyses while advancing standards and efficiency.

This role requires a Bachelor's degree, 7–9+ years in statistical programming in pharma, advanced SAS, and strong cross-functional collaboration.