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Must be a US Citizen
Some travel may be required

Columbus Technologies and Services Inc. is a strategic supplier and business partner to the federal government and its key suppliers.  Through our partnership with the National Institutes of Health, Columbus offers administrative, IT, engineering, scientific, and healthcare professionals the opportunity to work with one of the most prestigious research organizations in the world.  We are currently seeking Statistician to work onsite with the National Institutes of Health in Bethesda, MD.

This is a long-term contract position which offers:
 - Competitive salary
 - Tremendous growth opportunity
 - Opportunity to work at NIH, the world's foremost medical research center
 - Learn more about what Columbus can do for you at

Job Description:
•Collaborate with CEU/CGB senior staff and statistician within the Biostatistics Branch (BB) to program and conduct analyses, primarily absolute risk estimation, to help inform national screening and management guidelines for cervical pre-cancer/cancer.  
•Collaborate with other researchers and clinicians in cervical cancer screening to identify and complete needed analyses.
•Work with staff on preparing reports for presentation and/or for publication.
•Perform data programming, analysis and presentation by preparing charts, tables and graphs using software such as R, SAS and STATA.
•Check and confirm the accuracy of calculations conducted by collaborating programmers, analysts, and presenters to guard against mistakes in design, conduct, or presentation of risk estimates.
•Learn and use specialized computer programs and other tools in the conduct of duties.
•Function as a compatible member of a multidisciplinary research team.

Required Skills:
•Ph.D. degree or equivalent in a relevant discipline (e.g., Biostatistics, Statistics, Epidemiology, Mathematics, or Computer Science). Three (3) years of specialized experience plus a Master’s degree is equivalent to a Ph.D.
•Minimum of two (2) years of experience in a related field.
•Extensive experience programming in R, as evidenced by development of well-organized, well-documented R code and the ability to check R code written by others.
•Knowledge of statistics, including survival analysis.  
•Organizational abilities, attention to detail, initiative, and the ability to present results of analysis effectively in speech and in writing.
•Excellent analytical, organizational, and time management skills.
•Displayed proficiency in SAS, STATA, R, Microsoft Word, Excel, PowerPoint.
•Strong communications skills, both oral and written.

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