Data Science Preceptor

National Society for Black Engineers; Chicago (IL); On-site; USD 70,000 - 90,000; Full time

Job summary

The University of Chicago invites applications for the Data Science Preceptorship, a collaboration with the City Colleges of Chicago. This two-year appointment supports teaching in data science, engineering, and computer science with faculty mentorship.

Preceptors will teach multiple courses across UChicago and CCC, participate in professional development, and pursue research activities. A Ph.D. in a relevant field is required; benefits are provided.

Qualifications

• Required: A Ph.D. in data science, mathematics, statistics, computer science, biology, physics, astronomy, astrophysics, or other closely related fields to data science.

Responsibilities

• Teach two one-quarter courses at UChicago and two one-semester courses at CCC per academic year.
• Engage in research and scholarship activities and mentor students.
• Participate in professional development and faculty mentorship programs.

Education

Ph.D. in data science, mathematics, statistics, computer science, biology, physics, astronomy, astrophysics, or other closely related fields to data science

Job description

Description

The University of Chicago’s Data Science Institute, in partnership with the City Colleges of Chicago (CCC), invites applications for the position of University of Chicago (UChicago) Data Science Preceptorship. The UChicago and CCC Preceptorship program will develop the next generation of teaching academics for data science, engineering, and computer science education. This unique program emphasizes pedagogical best practices and allows Preceptors, from a variety of STEM PhD backgrounds, the opportunity to broaden their classroom skills and enhance their teaching and scholarship portfolios with the support of UChicago and CCC faculty mentorship.

The initial appointment is expected to begin August 1, 2027. Preceptors will work side by side with faculty from UChicago and CCC on teaching and developing course materials. Professional development training will be provided by both the UChicago and CCC faculty. Preceptors will gain experience teaching across learning environments with opportunities to engage with UChicago and CCC students in STEM courses. The teaching obligation is expected to be 2 one-quarter courses at UChicago and 2 one-semester courses at CCC per academic year. This role includes dedicated time for research and scholarship activities. This position also includes structured professional development, administrative duties and student mentoring activities.

The position is for an initial two-year appointment with a renewal for a third year possible.

This position is benefits-eligible. 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 (https://mybenefits.nfp.com/UChicago/benefits-guide/).

Salary Range $69,700 - 90,200

Qualifications

Required: A Ph.D. in data science, mathematics, statistics, computer science, biology, physics, astronomy, astrophysics, or other closely related fields to data science.

Equal Employment Opportunity 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 (https://www.uchicago.edu/non-discrimination).

Job seekers in need of a reasonable accommodation to complete the application process should call 773-834-3988 or email [e-mail] with their request.

The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.