Epidemiologist
📋 Role Overview & Responsibilities
PhD with at least 3 years of relevant work experience; MSc with at least 5 years of relevant work experienceSenior level expert in quantitative methods in epidemiology, statistics, health economics, or health services research, epidemiology, or statistics with the focus on data analysis using observational retrospective secondary data sources such as electronic medical records, registry data or claims data, or clinical trial data using R/R studio.Working experience in SAS (e.g., SAS Base, SAS Stat, SAS Macro) or Python/PySpark also relevant. Training will be provided for promising candidates without these additional experiences.Experience working with large databases such as claims, EMR, registry data, clinical trial datasets, MarketScan/Truven, Flatiron/EMR data, or similar are essential.Advanced knowledge of scientific research methods and practical knowledge of research implementation. Advanced knowledge of fundamentals of epidemiology, health economics, statistics, and epidemiology.Advanced knowledge of scientific research methods and practical knowledge of research implementation. Advanced knowledge of relevant methodology and statistics.Experience in Excel, MS Word, PowerPoint, Access, and Outlook
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This position is located in Wilmington, NC with potential relocation and sponsorship assistance depending on candidate qualifications.
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