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# Statistical Programmer

- **Company:** Systimmune Inc.
- **Location:** Princeton, NJ, United States
- **Experience:** Starter
- **Salary:** $80,000.0 - $100,000.0
- **Contract:** Temporary to permanent
- **Skills:** Databases, Coherent Remote File System (CRFS), Data Transmissions, SAS (Software)
- **Published:** October 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5fdd8d313905d572

## About the Role

* Master's degree or higher in Biostatistics, Statistics, Mathematics, or a related scientific discipline, with 0-2 years of experience in statistical programming within the pharmaceutical/biotech industry or a CRO.
 * Proficiency in SAS programming, preferably with experience in a clinical trial environment.
 * Working knowledge of CDISC standards (SDTM and ADaM).
 * Hands-on experience in developing and validating SDTM and ADaM datasets, as well as statistical outputs (tables, figures, and listings).
 * Prior experience or exposure to oncology studies is preferred.
 * Strong analytical, problem-solving, and organizational skills.
 * Effective communication and interpersonal skills, with the ability to work collaboratively in cross-functional teams.

## Description

* Collaborate with biostatisticians and cross-functional study team members to deliver statistical analysis and reporting outputs in line with project timelines.
 * Review study documents including statistical analysis plans (SAPs), CRFs, database specifications, and data transfer specifications.
 * Create and/or review SDTM/ADaM mapping specifications and annotated CRFs (aCRFs).
 * Generate and/or validate SDTM and ADaM datasets, including associated Define.xml and reviewer's guides.
 * Develop and validate tables, figures, and listings (TFLs) to support clinical study analyses, regulatory submissions, conferences, and publications.
 * Assess the quality, integrity, and consistency of analysis datasets, including cross-study analyses where applicable.
 * Develop SAS programs and macros to automate dataset generation and reporting deliverables.
 * Contribute to process improvements and enhancements of the statistical programming environment.
 * Participate in study team meetings and representing statistical programming in cross-functional discussions.
 * Apply knowledge of clinical trial design, CDISC standards, and regulatory requirements while producing analysis datasets and outputs in compliance with SOPs and industry standards.