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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. The project is in the launch phase 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.  The Precision Health project will focus on a set of specific use cases as well as create a tools, data sets and services accessible to faculty to assist their individual and collective research efforts.  A key existing asset of this initiative that will be purposefully expanded is the patient cohort and associated data that Precision Health researchers will access. ?

Job Summary

The Scientific Facilitator (SF) will guide researchers through the process of obtaining clinical and genetic data for health research, and bio specimens as necessary.  Data can be obtained from any available source of health information including institutional, state and national sources. Local sources of clinical data include U-M’s electronic record, MiChart, via the self-serve data discovery tool DataDirect.  The SF plays a key role in the development and refinement of data practices which will constitute an integral part of Precision Health.   The SF role includes monitoring the progress of research projects and identifying challenges to data quality with the overarching goal of increasing the efficiency of data extraction process and producing data in a timely manner. The SF 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 SF will work with scientists to plan, create, and test the data collection and processing workflows. The SF will teach data collection, management and research work flows to our scientists and students. The SF will also be charged with processes for participant re-contact for new studies. In addition, the SF will interface with other leadership in Precision Health and IRBMED to ensure that all processes remain compliant with all regulatory standards. When biological materials are requested, the SF will interface with members of the Central biorepository and the Data Office to monitor processes for matching samples to clinical and genetic data.

The SF 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 SF 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.

Responsibilities*

  • Consult with research staff to create more efficient and reproducible workflows for accessing and processing datasets.
  • 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
  • Develop more efficient ways of linking phenotypic and genotypic data, and bio specimens
  • 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 IRBs
  • Develop and maintain tracking systems and organize documentation for approved projects
  • 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
  • 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,
  • 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)
    • The skills needed to work effectively in a large academic organization with diverse groups of researchers, staff and external partners

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)
    • The skills needed to work effectively in a large academic organization with diverse groups of researchers, staff and external partners

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.