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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) seeks a Senior Scientist to support our research programs. MIDAS is an organization under the University of Michigan Office of Research. Our mission is to strengthen U-M’s preeminence in Data Science and Artificial Intelligence (AI), and enable their transformative use in a wide range of research disciplines to achieve lasting societal impact. We lead strategic thrusts in Data Science and AI research; enable collaborative grants, provide research training, and build research resources. Through these approaches, we facilitate the development of cutting-edge methods and the application of these methods to important problems in all research disciplines. We foster a world-class Data Science and AI research community at U-M and promote its diversity and inclusion. We also build coalitions with academia, industry, government and the community, and support data-to-insight transfer for positive social change.

The culture of the MIDAS core team is one that strives toward shared goals through collaboration, creativity, initiative, and excellence. We continuously develop a diverse range of new programs and improve existing ones. The ideal candidate will be a team player who is willing to take initiative, thinks out of the box, and enjoys a fast-paced environment.

Responsibilities*

  • Research support:
    • Manage research working groups and other activities to foster innovative research ideas and teams, leading to collaborative grant proposals;
    • Manage research resources such as dataset access;
    • Manage the seed funding program, including pre- and post-award activities;
    • Support grant proposals through coordinating responses to major grant opportunities, supporting teams in the development of grant ideas, reaching out to potential collaborators, writers of support letters, etc., and organizing feedback on drafts;
    • Participate in the development of resources for research best practices;
    • Support the education and outreach components of faculty research grants;
    • Support communities of practice in data science and AI;
    • Other research activities that fit with the expertise and interest of the applicant.
  • Communication and Administrative:
    • For MIDAS research and related activities, collect data and assist in evaluation in order to assess program effectiveness, develop contents for reports;
    • Develop scientific contents for website and newsletter, promotional materials and other forms of dissemination.

Required Qualifications*

  • PhD degree in a quantitative field;
  • A combination of two or more years of experience in one or more of the following areas:data management and / or analytics, research project management, research coordination and support;
  • An understanding of Data Science and AI along with sufficient analytical skills to interact with researchers on a technical level;
  • Professionalism, strong work ethic, demonstrated sense of responsibility, discretion and reliability.
  • Ability to set priorities, exercise initiative, solve problems, adapt to changes quickly, make independent judgments, and work effectively both independently and collaboratively as part of a team;
  • Excellent written and verbal communication skills; timely and consistent communication and follow-through with the leadership, the team and stakeholders;
  • Strong interpersonal skills and the ability to drive consensus;
  • Strong organizational skills and attention to detail;
  • Demonstrated computer literacy in common Microsoft Office software (Word, Excel, and PowerPoint), Google Suite (Gmail, Calendar, and Drive) and the ability to learn specialized software.

Desired Qualifications*

  • Broad interest in Data Science and AI and their application domains;
  • Familiarity with the U-M research environment.

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.

 

U-M COVID-19 Vaccination Policy

COVID-19 vaccinations are now required for all University of Michigan students, faculty and staff across all three campuses, including Michigan Medicine.  This includes those working or learning remotely.  More information on this policy is available on the Campus Blueprint website or the U-M Dearborn and U-M Flint websites.