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Roles and responsibilities
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 a 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 Office of Strategic Planning, Legislation and Scientific Policy (OSPLSP) and other NIMHD staff on analyses of secondary data.
•Perform statistical analyses of various minority health and health disparities topics.
•Perform literature, policy, portfolio and/or data analyses as needed for reporting purposes.
•Manage health disparities data portal.
•Ability to review and to synthesize data, as well as write reports, including methodology sections reflecting the results of the data.
•Prefer knowledge of modeling, machine learning and simulations.
•Perform scientific coding of NIMHD portfolio.
•Perform system management, administration and oversight.
•Attend meetings; present results and findings to staff for discussion.

Required Skills:
•Ph.D. in Statistics, Education or Behavioral Science or a related discipline; three (3) years of specialized experience plus a Master’s degree is equivalent to a Ph.D.
•Minimum of five (5) years of experience in statistics and research methodologies or the basic sciences.
•Proficiency in statistic and statistical software use, advanced statistic for multivariate analyses, and interpretation of data and data patterns.
•Prefer some knowledge of minority health and health disparities.
•Statistical skills with missing data, small sample sizes, weighting, differing sized samples
•Health or economic related stat skills
•Visualization of data skills and abilities
•Strong communications skills, both oral and written.
•Excellent analytical, organizational and time management skills.

Preferred Skills:
•SAS knowledge
•Understanding of Big Data Science
•Awareness of machine learning

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