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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.

Job Summary

The Obstetric Initiative (OBI) is seeking a detail-oriented self-starter to join the team in the role of Clinical Information Analyst Associate /Intermediate / Senior. OBI is a Collaborative Quality Initiative (CQI) statewide quality improvement project funded by Blue Cross Blue Shield of Michigan/Blue Care Network. The project is working to address variation in obstetric care with a first initiative of supporting vaginal birth and safely lowering the cesarean delivery rate among low-risk patients. This position is part of the OBI Coordinating Center team, housed at the University of Michigan Ann Arbor North Campus Research Complex (NCRC), but currently working remotely until June 2021 due to the COVID19 pandemic.
In partnership with the OBI Senior Data Analyst, you will share the responsibility in the following areas:
  • Management of large datasets
  • Proper analytic design in order to accurately and fairly measure hospital performance
  • Preparation of reports and the presentation of results to participating hospitals, study sponsors, and collaborating programs
The OBI Clinical Information Analyst Associate / Intermediate / Senior has the unique opportunity to work with four data sets: the OBI hospital-level abstracted data, Michigan Department of Health and Human Services (MDHHS) birth certificate data, Michigan Inpatient Database (MIDB) data, and Blue Cross Blue Shield of Michigan (BCBSM) claims data. The Clinical Information Analyst Associate/ Intermediate / Senior gathers and analyzes data from various databases and other sources; cleans and constructs datasets; develops and/or maintains databases; performs statistical programming; and provides technical assistance to the team. This position is an excellent opportunity to gain expertise in data management. Candidates for this position must be driven, with an intellectual curiosity and desire to continue learning, as well as the ability to juggle multiple projects at one time. Strong analytic, organizational, verbal, and written communication skills are critical to this role.

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.

Why Work at Michigan?

Being part of something greater, of serving a larger mission of discovery and care — that's the heart of what drives people to work at Michigan. In some way, great or small, every person here helps to advance this world-class institution. It's adding a purpose to your profession. Work at Michigan and become a victor for the greater good.


This position involves a wide range of tasks including data management, programming, and analysis supporting quality improvement. Under the direction of the OBI Senior Data Analyst, the position involves providing independent and collaborative statistical support.
Responsibilities include but are not limited to:
  • Extract, transform, and merge raw data from various data sources into usable forms and construct datasets 
  • Write, test and implement programs using SAS to analyze incoming data for accuracy
  • Design and prepare standard and ad hoc reports to direct collaborative planning
  • Respond to questions, data needs, and ad-hoc requests from collaborating hospitals
  • Work closely with the OBI team and the data registry vendor to develop new reports, and validate and troubleshoot analytic discrepancies.
  • Work closely with the OBI team to summarize, interpret, and present results in written, tabular, and visual formats
  • Create efficiencies through improved processes for data management, use, sharing, and linking
  • Create, prepare and maintain technical documentation of data and analysis files.
  • Independently prepare final versions of complex datasets including cleaning, recoding, reformatting
  • and outputting data as necessary for delivery to key stakeholders; document all work performed.
  • Independently document quality assurance operations performed in final reports, and provide basic documentation on datasets.
  • Harmonize data with previously collected data or aggregate disparate data sources for analysis and reporting.
  • Document procedures for future reference and make recommendations for data analysis process improvements

Required Qualifications*

  • Minimum of Bachelor's degree in Statistics, Biostatics, Public Health or related field
  • Strong, demonstrable programming skills and experience with relational databases, complex data structure, and linkages between data sources
  • Experience with Microsoft Excel and PowerPoint for the development of presentation materials
  • Proven ability to write clear and concise technical documentation, summaries of various methodologies, and descriptions of statistical results
  • Excellent communication, both oral and written in English language, and interpersonal skills are essential
  • Ability to prioritize, organize, and efficiently work on multiple projects at the same time
  • Working knowledge of epidemiologic concepts and methodology
Associate Required Qualifications
At least 1-year professional experience in SAS programing and analysis required for placement at the associate level
Intermediate Required Qualifications
At least 3 years of professional experience in SAS programing and analysis required for placement at the intermediate level
Senior Required Qualifications
At least 5 years of professional experience in SAS programing and analysis required for placement at the senior level
Note:  Examples of your SAS code, reports, or other work product may be requested

Behavioral and work environment expectations:

  • Identify and act on current priorities while maintaining flexibility and openness to changes.
  • Bring a participatory and constructive approach to problem solving.
  • Consider impact of work on internal and external audiences and be mindful of project timelines, staff needs across projects.
  • Be approachable, responsive and accessible, acting as a support to, and a resource for, others.
  • Proactively share knowledge to keep team members informed and work to overcome obstacles and seek resolutions with others.
  • Move between leader and follower roles within projects.

Desired Qualifications*

  • Master's degree in Statistics, Biostatistics, Public Health, Computer Science, or related field.
  • SAS certification preferred
  • Experience with additional statistical software and programming languages and/or the ability and willingness to learn as necessary.
  • Experience in directing, managing and analyzing research projects using large administrative and medical databases.

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 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.

U-M EEO/AA Statement

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