SAS Analyst for Insurance Claims Data (Senior/Intermediate) | Ann Arbor, MI

Detailed Information

  • Location: Ann Arbor, MI

  • Company: University Of Michigan

with top experts in the field of health services research. You will work on exciting research projects that will help shape the future of healthcare. Your skills and expertise in statistical analysis will be instrumental in these groundbreaking projects.

The candidate will be a member of Dr. Elham Mahmoudi's (PI) research team/lab at the Department of Family Medicine and will directly report to her. Mission Statement 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.

Responsibilities This position involves a range of tasks related to data management and quantitative analysis of large data obtained from payers such as Medicare and Medicaid. Specifically, the position involves providing independent and collaborative statistical support including: Working with administrative claims datasets using medical codes, such as International Classification of Diseases, 9th and 10th Revision (l CD9 and l CD10) as well as Current Procedural terminology (CPT) to identify the appropriate cohort, healthcare

encounters, and other variables of interest. Developing and refining research strategies, Identifying code or data issues and finding solutions.

Performing a wide range of statistical analyses (e. g. hierarchical linear models, survival analysis, propensity score matching). Writing, testing, and implementing programs using SAS to clean, manage, merge, and analyze large (>1 terabyte) administrative claims datasets.. Summarizing and presenting results in written, tabular, and visual formats for policy briefs, manuscripts, and presentations Skills You Have The most important skills for this position are: Strong statistical knowledge using Statistical Analysis System (SAS) to implement data management of large longitudinal claims datasets.

Candidates should also have an aptitude for statistical methods. Required Qualifications Statistician Senior Required Qualifications: Bachelor's or Master's degree in statistics, mathematics, economics, biostatistics, computer science, information, or related fields with at least 3 years of professional experience Minimum 3 years of SAS programming. Statistician Intermediate Required Qualifications: Bachelor's degree in statistics, mathematics, economics, biostatistics, computer science, information, or related fields with at least 1 year of professional experience Minimum 1 years of SAS programming.

Required for Both Levels (Senior/Intermediate) Extensive experience in SAS functionality including data steps, macros, code optimization, and proc SQL. Understanding of analytics and data manipulation Experience with healthcare codes like ICD9, ICD10, CPT, HCPCS, DRG, etc. Ability to work in a fast-paced environment, handle multiple projects simultaneously, set priorities, and take initiative while keeping supervisors and project leads informed Experience with complex data structures and linkages between different data sources.

Solid foundation in applied statistics. Ability to be consistently detail-oriented. Passion for working with large quantities of insurance claims data to extract meaningful insight from them. Work Schedule Work Schedule Monday - Friday: 9:00 am - 5:00 pm Work Location North Campus Research Complex - Building 14. Working remotely is also allowed. Underfill Statement This position may be underfilled at a lower classification depending on the qualifications of the selected candidate. Background Screening 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. Application Deadline Job openings are posted for a minimum of seven calendar days. The review and selection process maybegin as early as the eighth day after posting. Thisopening may be removed from posting boards and filled anytime after the minimum posting period has ended.

U-M EEO/AA Statement The University of Michigan is an equal opportunity/affirmative action employer. PDN-9a46fd2e-d4a9-443e-baa9-10eb61292b64

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