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  1. Submit as a single PDF a cover letter and resume.
  2. Specifically state the reasons for your interest in this position and describe the key skills and experiences that directly relate to this position 

Precision Health is a new initiative within the university that will engage faculty across the entire campus in aspects of Precision Health discovery, translation, implementation and policy research. Precision Health is a start-up project with internal funding for three years and a goal to raise significant additional funds through the UM Development Office and the leadership of President Schlissel.  Precision Health is focused on building the infrastructure (data sets, tools and services) available to faculty across campus to assist their individual and collective research efforts.  Precision Health is also committed to supporting a set of use cases that will test the functionality of our infrastructure and move projects into the healthcare setting.  As part of enabling infrastructure is a specific set of activities that will ensure researchers have access to Precision Health associated data, tools and services. 

Job Summary

The Research Scientific Facilitator (RSF) will guide researchers through the process of obtaining clinical, genetic and/or other related data for health research.  Data resources will include any available source of health information from institutional, state and national sources. Local sources of clinical data include U-M’s electronic record, MiChart, via a self-serve data discovery tool.  The RSF will play a key role in the development and refinement of data practices which will constitute an integral part of Precision Health.   The RSF position is a service-based role that includes monitoring the progress of research projects and identifying challenges to data access and data quality with the overarching goal of increasing the efficiency of data extraction process and producing data in a timely manner. The RSF will be the in-house expert on our research data management systems (we're currently using products called Oncore and RedCap), and will work closely with our scientists to organize research data according to emerging standards.  As studies are conceived, the RSF will work with scientists to plan, create, and test data collection and processing workflows. The RSF will teach data collection, management and research work flows to our scientists and students. In addition, the RSF will interface with other leadership in Precision Health and IRBMED to ensure that all data handling processes remain compliant with all regulatory standards.

The RSF needs to be familiar with a variety of computer systems such as LINUX and UNIX. Experience with a variety of programming languages and statistical software (e.g., SAS, STATA and/orR,) will be helpful. The RSF will also need to be familiar with the principles and practices of scientific research and project management. Strong skills in communication and collaboration are essential to success in this role.


  • Shepherd researchers through the process of acquiring clinical, genetic and other data in a compliant manner, ensuring that all regulatory and Precision Health governance requirements are met
  • Consult with research staff to create more efficient and reproducible workflows for accessing and processing datasets with an eye to automating processes were applicable
  • Interface with genetic data specialists, programmers and other experts to facilitate assembling multifaceted data sets (examples might include addition of socioeconomic, sensor or GIS data Liaise and coordinate among data and bio specimen providers to ensure delivery or resources to end-user
  • Set up and provide technical support and training for research data management systems
  • Guide and support efforts to organize, format, and upload research data to repositories
  • Consult with investigators to proactively plan data processing workflows for proposed research studies and write data management plan sections of grant applications.

Specific Duties

  • Work with investigators and their staffs to develop and submit IRB applications through eReseach for access to Precision Health data and/or bio specimens. Work with eResearch IRB system and staff to ensure the timely processing and approval of the IRB applications
  • Work with the investigators to ensure that projects progress efficiently from approved protocols through to the completion of data or sample access requirements
  • Organize, format, and upload research data to repositories as well as monitor the access and utilization of this research data
  • Develop and maintain tracking systems and organize documentation for approved projects
  • Collaborate with scientists to plan, create, and test the data collection and processing workflows.  Through this process, document and refine procedures/standards that reflect the most efficient workflows

Required Qualifications*

  • A background in health-related science with a working knowledge of the fields of Information Science, Public Health or Domain Sciences with computer / computational / data specialization or equivalent experience information systems, bioinformatics,
  • The skills needed to work effectively in a large academic organization with diverse groups of researchers, staff and external partners
  • Ability to work in matrix situations with multiple stakeholders.
  • Ability to work successfully in programs that span U-M with an understanding unique processes at a school/college level
  • Excellent communication and problem-solving skills; ability to interact with diverse individuals including PIs, research staff and management.
  • The skills needed to manage ongoing research processes, interface successfully with multiple partners and enhance these processes over time

Lead Level:

  • At least 3 years post master's degree experience with each of the following:
    • Organizing and processing large datasets with multiple types of data, human subjects research data preferred
    • Linux (or UNIX), including command-line experience
    • Experience with human subject research (e.g. study planning, data collection, processing, analysis; familiarity with IRB, HIPAA, federal agency requirements)

Senior Level:

  • At least 2 years post master's degree experience with each of the following:
    • Organizing and processing large datasets with multiple types of data, human subjects research data preferred
    • Linux (or UNIX), including command-line experience
    • Experience with human subject research (e.g. study planning, data collection, processing, analysis; familiarity with IRB, HIPAA, federal agency requirements)

Desired Qualifications*

  • Experience with project management practices
  • Experience using high-throughput computing systems
  • Experience with version control systems such as Git, Mercurial, Subversion, and CVS
  • Familiarity with statistical tools and practices
  • Enthusiasm for scientific research
  • Familiarity with Mac and Windows environments
  • Experience in training staff and/or students

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.

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.

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.