Clinical Info Analyst Senior/Intermediate

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The Division of Hospital Medicine within the Department of Internal Medicine is seeking a fulltime data developer/analyst to work on divisional projects. The primary research interests of the faculty to whom the data developer/analyst will report include clinical and health outcomes research with a focus on sepsis. We anticipate the field to evolve continuously and training for new and developing research methodologies will be provided depending on the project and interests of the candidate.

The Data Analyst gathers and analyzes data primarily from the EHR supplemented by other sources; cleans and constructs datasets; performs statistical programming; and provides technical assistance to the team.

In this position, you will work with a highly collaborative group of clinicians and researchers. This position is an excellent opportunity to gain expertise in data management and analysis, as well as direct application of your work to exploring the impact of innovative healthcare solutions to clinical outcomes.

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.


These positions involve a wide range of tasks including data management, statistical programming, and analysis supporting health services research, quasi-experimental, and pragmatic trials. Specifically, the position involves providing independent and collaborative support including the following responsibilities:

  • Using information technology to compile data from EPIC electronic health record, summarize data, and develop reports of the data
  • Developing and maintain database infrastructures
  • Performing power calculations and estimating sample size.
  • Writing, testing, and implementing programs using Stata or SAS to clean, manage, merge, and analyze large, complex datasets.
  • Implementing methods to ensure data quality and replication of results.
  • Developing and drafting specific plans for data management and analysis.
  • Independently conducting appropriate data management and analysis.
  • Conducting computer programming as needed for completion of other tasks.
  • Preparing and maintaining technical documentation of data management and analysis files.
  • Summarizing, interpreting, and presenting results in written, tabular and visual formats.
  • Assisting in the writing and reviewing of statistical methods in manuscripts and grant proposals.
  • Preparing annotated statistical code and logfiles for submission with manuscripts to journals.

Participating as a team member in discussions on data collection, management, and analysis.

Required Qualifications*

  • Ability to draft and do data management and analysis plans based on study design and solve problems.
  • Working knowledge of concepts and methods in epidemiology and biostatistics.
  • Experience working with complex data structures and linkages between data sources.
  • Strong programming knowledge using high-level programming language
  • Strong interpersonal and written communication skills. 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 the English language.
  • Ability to prioritize, organize, and efficiently work on multiple projects at the same time.
  • Flexibility and ability to work independently and collaboratively with multiple researchers.
  • Ability to be consistently and extremely detail-oriented.

Intermediate Level

  •         Bachelor's degree in a recognized field of science or learning which is directly related to the duties of the position.
  •       Minimum of 3 years of experience using Stata or SAS for data management, analyzing and interpreting process, clinical outcomes, and costs of care.

Senior Level

  •       Bachelor's degree in a recognized field of science or learning which is directly related to the duties of the position.
  •       5-8 years of experience using Stata or SAS in data management, computer programming, analyzing and interpreting process, clinical outcomes, and costs of care
  •       Direct experience in managing and supporting major research projects using large administrative datasets, such as Medicare claims, and longitudinal data analysis.

Desired Qualifications*

  •         Master's degree in relevant field
  •         Knowledge and experience working with EPIC EMR system, RedCAP or other database systems

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.

Vaccine Requirements

COVID-19 vaccinations are required for all students, faculty and staff working in the following areas: Michigan Medicine including the Medical School, Dental School, University Health Service or the Mary A. Rackham Institute.  This includes those working remotely and temporary workers.   More information on this new policy is available on the U-M Health Response.

U-M EEO/AA Statement

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