The job involves working with a highly motivated, collaborative, and innovative team involved in clinical/epidemiological research using big data, based in the Division of Nephrology, Department of Internal Medicine at the University of Michigan’s Medical School and Michigan Medicine. The team has both a national and international reputation.

The team works from the Kidney Epidemiology and Cost Center (KECC), a multidisciplinary research center, housed in the School of Public Health at the University of Michigan and is affiliated with the Institute of Health Policy and Innovation (IHPI), School of Public Health and School of Medicine.

The main areas of focus are health services and clinical research, implementation science and quality improvement in kidney disease and other chronic diseases as well as global health. The team has been funded recently on federal contract for national kidney disease surveillance and prevention. For the right candidate, there is potential to be involved in research projects, and publications to impact policy and practice.

The candidate will serve as a programmer-analyst, mentored by the lead programmer/analyst and under the overall supervision of the Principal Investigator and Research Team Director and other research faculty. The candidate will work with large and complex data sets typically used based on project needs (for example, Medicare, Medicaid, Department of Veterans Health Administration, Optum, and NHANES (75%). The candidate may be required to work with data provided by industry (e.g., Insurer, Data Company, Pharma or Other) and help with its analysis. (15%).

The candidate will assist other team members collaboratively as needed in data preparation for analyses and development of research manuscripts. The candidate will perform data cleaning and data analyses under guidance of the Lead Programmer-Analyst and Study PI(s), Epidemiologists and Biostatisticians. The candidate will help with grant submissions as needed and the team's development of Project Reports and other Deliverables. As required, they will also help analyze new data sources and assist the PI and Team in understanding them for their potential value (10%).

• The ideal candidate will have Master’s degree in Biostatistics OR Epidemiology (MS, MPH or equivalent), or similar field and at least 3 years of experience after graduation.
• Extensive knowledge and experience programming in SAS is required.

• Familiarity with statistical modeling such as Linear Regression, Logistic Regression, Generalized Linear Model, Survival analysis, etc.
• Experience with other programing languages, such as R, SQL, Tableau
• Excellent written and spoken communication skills in English
• Team player

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings.  Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally.  Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Job openings are posted for a minimum of seven calendar days.  The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

The University of Michigan is an equal opportunity/affirmative action employer.

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