[Remote] Statistical Analytical Programmer

Note: The job is a remote job and is open to candidates in USA. Slipstream Life Sciences is focused on providing managed IT solutions for emerging pharma and biotech organizations. The Statistical Analytical Programmer will play a crucial role in transforming complex EMR-focused real-world data into analysis-ready datasets and high-quality study outputs, collaborating with various teams to 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