Statistical Analytical Programmer

Job not on LinkedIn

🔥 4 minutes ago

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

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Slipstream IT

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

💊 Pharmaceuticals

Healthcare • Pharmaceuticals • IT Services

Slipstream IT is a strategic partner specializing in redefining IT solutions for the life sciences sector. They offer a comprehensive range of services including IT strategy and consulting, cloud-based solutions, and IT support specifically tailored to healthcare and pharmaceutical companies. With a focus on streamlining IT management and enhancing compliance and quality, Slipstream provides expertise as a certified Veeva solutions provider, serving over 200 clients in the life sciences industry.

📋 Description

• 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

🎯 Requirements

• BS or MS in statistics, biostatistics, epidemiology, computer science, or a related quantitative field • 5+ years of SAS programming experience in life sciences, ideally supporting observational research, epidemiologic studies, or regulatory projects using real-world data • 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

🏖️ Benefits

• 401k match • Comprehensive group health, dental, vision benefits • Life insurance/LTD • Discretionary PTO