Principal Statistical Programmer – FSP, RWD/EPI

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🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

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🖥 Software Engineer

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Clinical Outcomes Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

Biotechnology • Pharmaceuticals • Healthcare Insurance

Clinical Outcomes Solutions is a global clinical outcomes consultancy that provides comprehensive support and services in all aspects of Clinical Outcome Assessment (COA) research. The company helps inform patient care by capturing the patient voice through innovative scientific methods. It guides organizations in navigating the complexities of clinical outcomes research by crafting strategies and solutions to capture accurate data. Trusted by pharmaceutical and biotechnology companies, the firm ensures regulatory compliance and optimized patient outcomes.

📋 Description

• Providing support to the Epidemiology team by preparing Real World data, advising on data analytic strategies, and supporting stakeholders in various epidemiology analytic activities • Programming and conducting statistical analysis under the direction and supervision of epidemiologists/statisticians including data coding, creation of algorithms, linkage of datasets, and use of statistical packages or platforms • Supporting statistical programming to generate innovative means of data standardization, visualization, and reporting of observational data • Supporting Medical Affairs (e.g. observational studies leveraging RWD); Global Patient Safety and Risk Management (e.g., analysis to obtain background rates) for the development of regulatory/safety documents, and Clinical Development (e.g.; assessment of patient populations/ protocol feasibility) • The position will partner with Epidemiologists to manage relationships with internal and external stakeholders • Being able to prioritize and manage work across multiple projects and stakeholders • Providing strong communication to ensure successful and timely project delivery • Solving technical problems with experience and expertise

🎯 Requirements

• Master’s degree or PhD in related field (epidemiology, biostatistics, statistics, bioinformatics, economics) and 5+ years of experience conducting RWE analytics for pharma industry, CRO, or academic institution • Intermediate to expert level proficiency in SQL is a must. In addition, SAS or R proficiency is required • Deep expertise analyzing RWE data sources such as Optum (Clinformatics Datamart® and Market Clarity), Truveta and UK Biobank. Experience analyzing clinical trial and/or registry data is desirable • Familiarity with relational databases and proficient understanding of claims and ancillary file layouts • Experience with applied statistics including regression analysis (OLS, longitudinal, logistic, Cox, GLM/GEE), survival analyses (Kaplan-Meier, cumulative incidence, accelerated failure time models), and propensity weighting • Excellent project management skills; can prioritize multiple tasks and goals to ensure timely completion • Confident and competent when interacting with internal and external stakeholders • Strong written/verbal communication skills. Highly effective at summarizing and presenting key considerations and evidence.