Sr. Computational Statistician (R2-R4)

Eli Lilly and Company seeks a Sr. Computational Statistician (R2-R4) to develop data analysis plans in collaboration with statistical colleagues. Select statistical methods for data analysis, author data analysis plans, and conduct analysis after reporting database creation. Plan and implement data quality assurance plans. Effectively justify methods selected and implement previously outlined analysis plans. Conduct peer-review of work products from statistical colleagues. Effectively utilize current technologies and available tools for conducting the clinical trial analysis. #LI-DNI Position requires a Master’s degree in Statistics, Biostatistics, or a related STEM field and 6 months of experience with statistical analysis and programming. Experience must include a minimum of: 6 months of experience conducting statistical analysis using SAS and R programming languages; 6 months of experience analyzing clinical trial data and establishing datasets; 6 months of experience writing and executing SAS macros; 6 months of experience providing input to statistical analysis plans and selecting statistical methods for data analysis; 6 months of experience implementing data quality assurance plans; and 6 months of experience conducting validation of work products from statistical colleagues. Up to 5% domestic travel required. Telecommuting benefit available. #LI-DNI Job location: Indianapolis, IN. To apply, please visit https://jobsearch.lilly.com/ and enter job requisition number R-91529 when prompted. Alternatively, please send your resume, cover letter, and a copy of the ad to: Matthew Tenaglio, Lilly Corporate Center, Indianapolis, IN 46285.