A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
Write programs in SAS and R for data preparation, standard analysis file creation, statistical analysis, and reporting, including programs requiring complex combination of data from multiple sources. Devise and carry out detailed testing plans to verify the proper operation of the systems and to validate the resulting datasets, analyses, and reports. Develop and conduct regression testing to ensure software still performs.
Develop and maintain the KECC database using SAS as the primary platform including working with others to complete monthly, quarterly, and yearly updates and reports.
Create or update detailed system documentation including documentation of program code, research guides for projects, data dictionaries, and systems or functional processes.
Develop the analytical and statistical approaches for particular research questions. Work with other staff members and faculty members to evaluate chronic and end stage renal disease research findings.
Analyze multiple input data sources for changes in format or content as part of the production process and to determine whether and how they can be used for particular research questions. Design and carry out modifications to the existing systems to accommodate changes and assess alternative solutions.
Participate in meetings and conference calls with research sponsors to define research questions and deliverables, determine data reporting requirements, present results, and determine next steps. Answer questions from the community and external contractors about measure calculations and carry out investigations into data irregularities.
Perform independent critical analyses of pertinent literature, Medicare rules and regulation, and legislation. Contribute to research papers and manuscripts for publication and presentation at conferences and workshops.
Master’s degree or equivalent combination of education and work experience (typical fields of study include but are but not limited to: Biostatistics, Statistics, Public Policy, Epidemiology, Economics, Computer Science, or related field).
At least one statistics course.
Experience using SAS for data management and statistical analysis.
Excellent communication skills, both oral and written.
Strong organizational skills, attention to detail and accuracy.
Excellent interpersonal skills and the ability to work as part of a team or individually while meeting deadlines in a multi-tasking environment.
Advanced statistical training or experience, including survival analysis.
Experience with Medicare or other insurer claims databases.
Experience with health-related data management and analysis.
Experience with R programming language.
Experience in technical and research writing including writing proposals.
Familiarity or experience with Lean management principles.
This is a one-year term-limited, benefits-eligible position with the possibility of extension for subsequent years.
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
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.
Internal Number: 188627
About University of Michigan - Ann Arbor
A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.