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How to Apply

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 Michigan Institute for Data Science (MIDAS) was created in July 2015 and is currently in the process of transforming into an Institute that serves the entire campus while continuing to build from its strong national and international reputation. MIDAS serves as the focal point for the multidisciplinary research and collaboration for Data Science at the University of Michigan. This domain covers a wide spectrum of scientific and technical sub-disciplines (development of concepts, methods, and technologies) for data collection, management, analysis, and interpretation, as well as their innovative use to address important problems in science, engineering, medicine and health, social and political science, business, humanities, and other areas.

Data Science is now widely accepted as the fourth mode of scientific discovery, on par with theory, physical experimentation, and computational analysis. Data Science Methods based on Big Data analytics, Machine Learning (ML), and Artificial Intelligence (AI) are transforming all areas of research, education, and practice.  It is also transforming society and the career and employment landscapes world-wide.


      Partnership development:

  • Serve as the project manager for MIDAS industry, academia and community outreach projects;
  • When a potential partner organization/company is identified, work with representatives from the partner organization and relevant U-M units (such as the Business Engagement Center), to shepherd the process of establishing the formal partnership;
  • Work with representatives from established partners to plan and run data science events and other activities;
  • Maintain a constant relationship with MIDAS partners, seek opportunities for joint activities as the partners’ goals evolve;
  • Engage partners in MIDAS events such as the annual symposium;
  • Seek data science student projects from industry, academic and community partners;
  • Serve as the point person for industry partners that receive data science training from MIDAS and coordinate the training process;
  • Reach out proactively to communities to seek opportunities for MIDAS to build partnership and to contribute data science expertise to communities.


  • Promote MIDAS through website, email communications and other methods of outreach;
  • Develop a social media presence for MIDAS;
  • Develop content for MIDAS website, annual reports and other publicity materials, including writing reports about MIDAS research;
  • Design online events (such as Twitter real-time discussion) and other approaches to maintain and improve MIDAS’ web presence;
  • Manage online discussion boards that focus on sharing data science expertise and data science education.


  • Collect data and assist in evaluation of outreach and partnership activities, in order to assess program effectiveness;
  • Create and maintain database of data science student projects, partner activities and others as needed.

Required Qualifications*

  • Bachelor’s degree in a STEM-related field;
  • >2 years of experience working with industry and/or community organizations;
  • Excellent project management skills;
  • Excellent written and verbal communication skills;
  • Strong interpersonal skills and professional demeanor to interact with industry, community and academic partners;
  • Ability to assess complex information, skillful in problem solving and decision making;
  • Strong organizational skills and attention to detail;
  • Ability to work under pressure, set priorities, exercise initiative, meet deadlines and work effectively both independently and collaboratively as part of a team;
  • Demonstrated computer literacy in common Microsoft office software (Word, Excel, and PowerPoint), Google (Gmail, Calendar, and Drive) and the ability to learn specialized software.

Desired Qualifications*

  • Master’s degree;
  • Coursework or skills in Statistics, Computing or other Data Science related fields;
  • Previous experience in communications;
  • Experience working in higher-education institutions;
  • Experience in academic research or research support.

Background Screening

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks.  Background checks are performed in compliance with the Fair Credit Reporting Act.

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.