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A cover letter and resume/CV 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 Department of Ophthalmology and Visual Sciences is seeking to hire a skilled individual with a background and interest in data collection for clinical research projects, including the data that will populate a large ophthalmology electronic health record repository our department is building. The employee will support researchers performing health services, population health and outcomes research related to vision by recruiting patients and obtaining data directly from them to integrate into the repository, as well as from electronic health records, diagnostic equipment, and other sources. They will also perform data cleaning and data analysis activities on the data collected. The successful candidate will work with a dynamic team of researchers, statisticians, and IT professionals and coordinate activities related to the development of the repository.

Mission Statement

The Kellogg Eye Center seeks to improve lives through curing, preventing and treating eye disease.

Guiding PrinciplesTeamwork, Caring, Innovation, and Integrity


  • Perform data extraction activities at the Kellogg Eye Center and satellite clinics
  • Assist with data management and database building
  • Coordinate incoming data into the repository from different sources and staff members
  • Obtain data directly from patients to integrate into the repository
  • Perform scientific literature reviews
  • Prepare supporting materials for grant applications and clinical studies
  • Consent patients to participate in clinical research studies
  • Assist with regulatory, compliance, and IRB paperwork for the repository

The above statements are intended to describe the general nature and level of work to be performed and are not an exhaustive list of all associated responsibilities.

Required Qualifications*

  • Excellent computer skills, including expert knowledge of Microsoft Office products including Word, Outlook, Excel, and PowerPoint.
  • Excellent communication and interpersonal skills
  • Ability to interact well with patients and obtain data from them to integrate into the repository
  • Excellent organizational skills
  • Experience working with a variety of datasets
  • Demonstrated ability to multi-task and work independently with minimal supervision
  • Excellent written and verbal communication skills, with the ability to receive and convey information clearly and concisely
  • Ability to work successfully with a diverse team in a collaborative fashion.
  • Problem solving and critical thinking skills
  • Demonstrated ability to work well under time constraints
  • Candidate must have a high degree of initiative and resourcefulness

Desired Qualifications*

  • Master’s degree in Public Health or a related discipline; for applicants without a Master’s, evidence of adequate research experience will be considered
  • A minimum of one (1) year’s work experience in a research or related technical field.
  • Familiarity with EPIC electronic health record data and abstraction of data from medical records;
  • Familiarity with ophthalmology a plus
  • Experience using SAS, R, Python, Javascript a plus

Work Schedule

Hours: 40; Shift/Hours/Days: 8:00 am – 5:00 pm, Monday through Friday

Willingness to drive to satellite clinics to assist with data collection at those sites

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.

Application Deadline

Job openings are posted for a minimum of seven calendar days. This job 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.