Analyze real-world datasets to support epidemiologic, scientific, and regulatory projects.
Build, validate, and maintain SAS programs for analysis datasets and study outputs.
Transform raw real-world data sources into accurate, traceable, analysis-ready datasets.
Perform quality control and peer review to ensure programming deliverables are accurate.
Document programming decisions and dataset derivations to support reproducibility.
Review and validate SAS code and outputs developed by other programmers.
Partner with cross-functional teams including epidemiology, biostatistics, medical writing, and regulatory.

5+ years of SAS programming experience in life sciences
BS or MS in statistics, biostatistics, epidemiology, computer science, or related quantitative field
Strong understanding of real-world data structures, especially EMR
and EHR-based datasets
Strong programming skills in SAS, with R experience beneficial
Collaborative, detail-oriented, and comfortable working across teams

SAS Programming Consultant – Regulatory, Life Sciences Research

Key skills