Note: The job is a remote job and is open to candidates in USA. Slipstream Life Sciences is focused on providing managed solutions for emerging pharma and biotech organizations. The Statistical Analytical Programmer plays a key role in transforming complex EMR-focused real-world data into analysis-ready datasets and high-quality study outputs, collaborating with various stakeholders to deliver transparent analyses that support regulatory and scientific projects.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- 401k match
- Comprehensive group health, dental, vision benefits
- Life insurance/LTD
- Discretionary PTO
Company Overview
Company H1B Sponsorship