University of Chicago

Senior Instructional Professor (open rank) in Data Science

University of Chicago$110K — $130K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. in a related field.
  • Minimum two years teaching experience as an instructor of record in higher education.
  • Preferred expertise in data science, machine learning, AI, databases, or applied statistics.
  • Experience managing experiential learning academic programs and personnel beneficial.
  • Three years of relevant industry experience focused on quantitative and analytical skills.

Responsibilities

  • Lead and teach three quarters of clinic courses in data science.
  • Develop and teach up to one additional course in data science.
  • Hire and supervise faculty and staff for the DSI Clinic program.
  • Mentor students and staff in a collaborative environment.
  • Evaluate program effectiveness and make data-driven improvements.

Benefits

  • Health insurance offerings including medical, dental, and vision plans.
  • Retirement plan options with employer contributions.
  • Paid time off including vacation and sick leave.
  • Access to employee wellness programs.
  • Professional development resources and training opportunities.
Full Job Description
Description

The Data Science Institute at the University of Chicago invites applications for the position of Senior Instructional Professor (open rank) to lead the Data Science Clinic. The Data Science Clinic is an experiential project-based course where students work in teams as data scientists with real-world clients from industry, academia, and social impact organizations. You can view more information about the DSI Clinic on our website here.

The candidate will be appointed as Assistant Senior Instructional Professor, Associate Senior Instructional Professor, or Senior Instructional Professor, depending on qualifications and years of experience in a similar role. The appointment will be made in the Data Science Institute.

The appointment will be for a term of up to five years, renewable. This is a career-track position with competitive salary and benefits. This position is expected to begin on or around December 1st, 2026.

Responsibilities include leading and teaching three quarters of the data science clinic courses as well as up to one additional course in data science. Additional responsibilities include hiring, evaluation, supervision, and mentoring of academic and staff appointees in the DSI Clinic program.

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.

Qualifications

Required:

  • A Ph.D. in a related field
  • At least two years of experience teaching in a college or university as an instructor of record


Preferred:

  • Training and professional experience in one or more of the following areas: data science, machine learning, artificial intelligence, databases, and applied statistics.
  • Experience in management of experiential learning academic programs and personnel
  • And 3 years of industry experience with demonstrated quantitative, analytic, data science, and/or AI experience.


Application Instructions

Applications must be submitted online through the University of Chicago's Academic Jobs website: apply.interfolio.com/190212.

Review of applications will begin on October 1, 2026 and will continue until all positions are filled.

The following materials are required:

  • curriculum vitae
  • cover letter
  • A teaching statement including description of teaching philosophy, curricular development experience, and ability to interact with a diverse group of students
  • Evidence of successful management of programs (or evidence of potential to do so)
  • Evidence of teaching effectiveness (e.g., course evaluations, performance review, or other relevant assessments),
  • syllabi of courses previously designed and taught
  • three confidential letters of recommendation requested via Interfolio

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