Job Overview:
The
Statistical Analytical Programmer plays a key role in turning complex
EMR-focused real-world data into clear, analysis-ready datasets and high-quality study outputs. This person will bring strong SAS programming experience and a practical understanding of observational research and epidemiologic methods to support regulatory and scientific projects.
Working closely with
epidemiologists, biostatisticians, medical writers, and regulatory partners, this role helps deliver transparent, reproducible analyses that support publications, value evidence, and regulatory decision-making.
Responsibilities and Duties:
- 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-including EMR, EHR, claims, and registries-into accurate, traceable, analysis-ready datasets.
- Perform quality control and peer review to ensure programming deliverables are accurate and aligned with study plans and SOPs.
- Document programming decisions and dataset derivations to support reproducibility and audit readiness.
- Review and validate SAS code and outputs developed by other programmers.
- Partner with cross-functional teams including epidemiology, biostatistics, medical writing, regulatory, and client stakeholders.
- Follow internal SOPs, FDA RWE guidance, and other applicable regulatory standards.
Qualification:- Education: BS or MS in statistics, biostatistics, epidemiology, computer science, or a related quantitative field.
- Experience: 5+ years of SAS programming experience in life sciences, ideally supporting observational research, epidemiologic studies, or regulatory projects using real-world data.
- Special Skills: Strong understanding of real-world data structures, especially EMR- and EHR-based datasets, as well as claims and registry data. Experience supporting retrospective cohort, natural history, burden of illness, comparative effectiveness, and other epidemiologic study designs. Strong programming skills in SAS, with R experience beneficial for data analysis, programming, and statistical workflows. Strong documentation skills, including code annotation, traceability, and reproducibility. Experience with Veeva Vault or similar document management systems is a plus.
- Personal Characteristics: Collaborative, detail-oriented, and comfortable working across epidemiology, biostatistics, medical writing, and regulatory teams. Able to work independently in a remote environment and manage timelines effectively.
Preferred Qualifications:- Experience with R for data analysis, programming, or statistical workflows is highly beneficial.
- Experience working with Truveta data or similar EMR-based real-world data sources is highly beneficial.
Travel: 10% at the most
Benefits- 401k match
- Comprehensive group health, dental, vision benefits
- Life insurance/LTD
- Discretionary PTO
This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of the Employer
