Eli Lilly and Company seeks a Principal Statistician - Computation (R3) to collaborate with other statistical colleagues to provide input to statistical analysis plans. Assist in selecting statistical methods for data analysis, authoring the corresponding section of the data analysis plan, and conducting the actual analysis once a reporting database is created. Collaborate with data management in the planning and implementation of data quality assurance plans. Apply SAS programming and statistical methodology to new and varied methods. Understand relevant disease states in order to enhance the level of customer focus and collaboration. #LI-DNI
Position requires a Master's degree in Statistics, Biostatistics, or related field and academic or employment experience in statistical programming language/software such as SAS (Base, Macro, and STAT modules) and R (tidyverse, ggplot2, and Shiny). Academic or employment experience must include: experience with clinical trial data standards, including CDISC SDTM and ADAM datasets, and use of Pinnacle 21 for compliance validation; experience with clinical study deliverables, including generating tables, figures, and listings (TFLs), and statistical outputs for CSR and regulatory submissions (e.g. FDA, EMA); experience with regulatory guidelines, such as ICH E9 (Statistical Principles for Clinical Trials) and ICH E3 (Structure and Content of Clinical Study Reports); experience with version control and collaboration tools, including Git/GitHub for source code management; and experience with Spotfire, SAS ODS Graphics, and automating report generation using R Markdown or SAS ODS. #LI-DNI
Job location: Indianapolis, IN. To apply, please visit https://jobsearch.lilly.com/ and enter job requisition number R-103493 when prompted. Alternatively, please send your resume, cover letter, and a copy of the ad to: Matthew Tenaglio, Lilly Corporate Center, Indianapolis, IN 46285.
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