Research Manager | University of Michigan - Ann Arbor Job at University of Michigan - Ann Arbor, Ann Arbor, MI

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  • University of Michigan - Ann Arbor
  • Ann Arbor, MI

Job Description

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.

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.

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.

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.

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.

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.

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

About University of Michigan - Ann Arbor

A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.

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