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Manager Statistical Programming

EPM Scientific
Morristown, NJ Full Time
POSTED ON 5/29/2026
AVAILABLE BEFORE 6/27/2026

Manager, Statistical Programming

Location: New Jersey (Hybrid - 3 days onsite)

Salary: $110,000-$140,000 bonus benefits

Overview

We're currently partnered with a growing, mid-sized biotechnology organization is seeking a Manager, Statistical Programming to support clinical development programs and lead statistical programming activities across multiple studies. This individual will play a key role in delivering high-quality programming outputs for regulatory submissions while acting as a technical expert within the biometrics function.

Key Responsibilities

  • Serve as the technical lead and project manager for statistical programming deliverables across multiple clinical studies
  • Oversee the development and validation of analysis datasets, tables, listings, and figures (TLGs) to support regulatory submissions and publications
  • Collaborate cross-functionally with Biostatistics, Data Management, Clinical Operations, and Medical Writing to ensure alignment on study deliverables and timelines
  • Represent Statistical Programming at study team and clinical development meetings
  • Review key study documents including SAPs, CRFs, data management plans, and database specifications
  • Develop and maintain SAS programs, macros, and utilities to support study- and product-level analyses
  • Provide guidance on complex programming tasks and contribute to internal standards, SOPs, and best practices
  • Interface with external CROs and vendors, ensuring quality and timely delivery of outsourced programming work

Qualifications

  • Bachelor's degree (or higher) in Statistics, Computer Science, Mathematics, or related discipline
  • 5 years of experience in statistical programming within a clinical development environment
  • Strong expertise in SAS programming, with working knowledge of CDISC standards (SDTM, ADaM)
  • Experience generating outputs to support regulatory submissions (FDA/EMA)
  • Familiarity with R and/or Python is a plus
  • Proven ability to work in a cross-functional, fast-paced environment and manage competing priorities
  • Understanding of the drug development lifecycle across various phases

Salary : $110,000 - $140,000

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