Statistical Analytical Programmer

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🕒 6 dias atrás

🔔 Pennsylvania – Remoto

🔔 Pennsylvania – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🖥 Engenheiro de Software

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Slipstream IT

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2020

💊 Farmacêutico

Healthcare • Pharmaceuticals • IT Services

Slipstream IT é um parceiro estratégico especializado em redefinir soluções de TI para o setor de ciências da vida. Eles oferecem uma gama abrangente de serviços, incluindo estratégia e consultoria de TI, soluções em nuvem e suporte de TI especificamente adaptados para empresas de saúde e farmacêuticas. Com foco em otimizar a gestão de TI e melhorar a conformidade e a qualidade, a Slipstream oferece expertise como fornecedor certificado de soluções Veeva, atendendo a mais de 200 clientes na indústria de ciências da vida.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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