This Senior Statistician I works out of our Columbus, OH location where they will support our Nutrition Research and Development team. In Research & Development, our ambition is providing innovative high-quality products, creating sustainable value, delivering superior user experience, and enhancing health outcomes at all stages of life. The Senior Statistician I will leverage your statistical expertise, advanced programming skills and solid experience using industry standards (e.g., SDTM, ADaM) and related processes to support the clinical development team in the design, execution, and analysis of clinical trial and other nutrition research data. This position requires experience with statistical methods useful in clinical trial and observational research including analysis of (co)variance, logistic regression, predictive modeling, and causal analysis. Responsibilities include providing input to protocol, CRFs, edit check specifications and data management plan; generating or validating table programs; creating or validating analysis data sets; writing analysis data set and table specifications; developing basic reports to support Risk-based Monitoring and Centralized data reviews; performing adhoc programming; performing complex data checking for Data Management group; documenting programs and specifications; modifying existing global macros or creating new project specific macros; performing statistical analysis and reporting of clinical trial data, both safety and efficacy, utilizing SAS programming; performing adhoc analyses (e.g. survey studies); communicating results orally and in written format to non-statisticians (nutrition scientists, medical professionals, and clinical research staff) in an organized and coherent manner; creating visualization tools, apps, and dashboards; solving issues independently; informing manager on important issues in a timely manner; and may lead a team of 1-3 programmers on a project, as needed. This position does not have direct reports. Education and Experience required: Bachelor's Degree in Statistics, Biostatistics, Mathematics or related quantitative fields with 3-5 years of experience; with Master’s degree 1-3 years of experience; with PhD 0-2 years of experience. Preferred skills include strong SAS analysis and reporting skills, proficiency in SAS MACRO development, experience with additional programming languages (R, Python, MATLAB), experience with dashboard creation using Power BI or similar tools, experience with simulation and modeling, experience with large data; data wrangling & data mining; web scraping a plus, and experience implementing CDISC Standards (SDTM/ADaM) including writing/reviewing ADaM specifications, programming, and validation including efficacy domains a plus.
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