Job Description

How to Apply

A cover letter is required for consideration for this position and should be included 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.

Who We Are

The Michigan Institute for Data and AI in Society (MIDAS) seeks a Research Manager to support our research programs. MIDAS is an organization under the University of Michigan Office of the Vice President for Research. Our mission is to advance research in data science and artificial intelligence (AI), and enable their transformative use in a wide range of research disciplines to achieve lasting scientific and 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, equity and inclusion. We also build coalitions with academia, industry, government and the community, and support the use of data and AI for positive social change.

The culture of the MIDAS core team is one that strives toward shared goals through collaboration, creativity, initiative, and excellence. 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*

The Research Manager will be a relationship builder, who will facilitate the development of research teams and projects. This person will also support pre-award and post-award activities in a broad sense. Specifically:

Manage MIDAS resources such as funding programs, important datasets, and other tools to support researchers and disseminate research best practices.

Carry out research development activities to foster innovative research ideas and teams that will lead to collaborative grant proposals and research projects.

Coordinate the submission of major grant proposals led by MIDAS or our faculty collaborators

Participate in research, training and capacity development projects either as a coordinator or technical contributor, based on the interest and skills of the candidate and the needs of the projects

Coordinate student research projects to support faculty research and "data and AI for social good" projects

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*

Master's degree in a data science / AI related field;

A combination of three or more years of employment experience in one or more of the following areas: 

Data management and / or analytics;

Research project management;

Research development;

Pre-award / post-award support;

Conceptual understanding of data science and AI along with basic analytical skills;

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*

PhD degree in a data science / AI related field;

Broad interest in data science and AI and their application domains;

Familiarity with the U-M research environment.

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Underfill Statement

This position may be filled at the HR title of 100116-Academic and/or Research Program Officer Intermediate or 100115-Academic and/or Research Program Officer Associate, depending on the relevant experience and qualifications of the selected candidate.

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.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.

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