Data Science Clinic and Technical Research Team Administrator

Department

PSD Data Science: Systems Administration

About the Department

The Data Science Institute at the University of Chicago was established to support the development of emerging efforts in data science across the University. The staff in the Data Science Institute support the University’s community of scholars, their shared ideals, and the core values that make the University a singular intellectual destination. Together with the University's deans and department chairs, the Data Science Institute provides the opportunities, infrastructure, and resources that encourage our faculty and other scholars to pursue their finest work. We are part of the Physical Sciences Division which includes departments and several interdisciplinary research institutes and centers.

Job Summary

The University of Chicago Data Science Institute is looking for an outstanding candidate to contribute to the success of the Data Science Clinic and Technical Research Team. Aimed at candidates whose passion lies in developing innovative data science and AI solutions to real-world problems, this position offers the opportunity to work on projects in partnership with social impact organizations, government, industry and research groups.
The Data Science Clinic and Technical Research Team work hand in hand on data science and AI projects across research, application development and instruction. This position will work closely with these teams and the external project partners. Successful candidates will be assisting in all aspects of project and partnership management, this includes developing strategy, budget tracking as well as other general administrative tasks including scheduling and event coordination.
This position is ideal for people interested in the intersection of data science and AI and social impact work. From directly executing projects for nonprofits to capacity building with training-focused activities, this position will have an important effect on the direction and execution of our work.

Responsibilities

• Manages the day-to-day execution of the Data Science Clinic program.
• Recruits and retains partner organizations for projects to meet demands based on clinic and Technical Research Team needs in collaboration with the Director of Clinic, Senior Director of Partnerships, Data & Engineering Manager, and Director of Corporate Partnerships.
• Communicates and builds professional relationships with corporate, nonprofit, and community partners.
• Discusses clinic options with students, provides counsel and/or mediates to resolve difficulties or disputes when necessary, and promotes student learning and encourages their professional development.
• Provides information to organizations participating in the clinic or engagements with the Technical Research Team, helping to scope viable data science and AI project proposals as well as facilitate student learning and evaluation.
• Conducts site visits, as well as telephone/video-based conference calls, with project organization representatives.
• Collaborates closely with the Data Science Institute and university staff on clinic-related processes, including legal agreements.
• Assists with grant applications and related reporting.
• Analyzes program budgets and recommends or makes budgetary recommendations.
• Has moderate/high levels of interactions with faculty, researchers and staff for committee work or information.
• Performs other related work as needed.

Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.

Work Experience:

Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

Certifications:

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Preferred Competencies

• Strong Analytic and critical thinking skills.
• Excellent organizational skills and attention to detail.
• Experience with project management.
• Strong communication skills both written and verbally.
• Deep understanding when interacting with faculty, researchers and staff for committee work or information.
• Ability to meet deadlines and communicate proactively around project delivery.
• Demonstrated flexibility and ability to multitask on frequent and constantly changing demands.
• Ability to effectively communicate with faculty, graduate students, and various. administrative offices at all levels of the university.
• Ability to learn new technologies and apply them consistently. The team is technical, and this position requires a willingness to engage and work in those technical spaces.
• Ability to work confidently around projects and data.
• Ability to work independently.

Application Documents

• Cover letter (required)
• Resume/CV (required)

Job Family

Administration & Management

Role Impact

Individual Contributor

Scheduled Weekly Hours

37.5

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Pay Rate Type

Salary

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FLSA Status

Exempt

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Pay Range

$73,000.00 - $86,000.00

The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.

Benefits Eligible

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.

Posting Statement

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

 

Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

 

All offers of employment are contingent upon a background check that includes a review of conviction history.  A conviction does not automatically preclude University employment.  Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

 

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