Computational Statistician (R2-R4)

Eli Lilly and Company seeks a Computational Statistician (R2-R4) to provide input to statistical analysis plans.

Select statistical methods for data analysis, author corresponding sections of data analysis plans, and conduct analyses after reporting database creation.

Collaborate with data management in the planning and implementation of data quality assurance plans.

Maintain proficiency with SAS and R programming and statistical methodology.

Conduct peer-review of work products from statistical colleagues.

#LI-DNI Position requires a Master's degree in Statistics, Biostatistics, or a related 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.

Part time telecommuting may be permitted.

#LI-DNI Job location: Branchburg, NJ.

To apply, please visit and enter job requisition number R-81956 when prompted.

Alternatively, please send your resume, cover letter, and a copy of the ad to: Beth L.

Berry, Lilly Corporate Center, Indianapolis, IN 46285.

Full Time