Clinical Professor Open-rank – MS in Applied Data Science

The Data Science Institute in the Physical Sciences Division at the University of Chicago invites applications for Clinical Professor (open-rank) to teach in its MS in Applied Data Science program. Appointments will be made as Assistant Clinical Professor Associate Clinical Professor or Full Clinical Professor depending on qualifications. This full-time benefits-eligible appointment is for an initial term of up to five years with possibility of renewal. This is a teaching position with no research responsibilities and some administrative position is expected to begin in the 2026-2027 academic year.

The person holding this position must be able to teach at least two of the following courses: Statistical Models Time Series Big Data and Cloud Computing Data Engineering Leadership and Consulting for Data Science Machine Learning and Artificial Intelligence Human Computer Interaction Quantum Computing Swarm Intelligence Advanced Computer Visualization Natural Language Processing or Bayesian Inference. An overview of the MS in Applied Data Science course offerings can be found at Depending on background and interests the person holding this position may also be asked to teach other classes in the MS in Applied Data Science 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.

Minimum Qualifications:

• A PhD in Data Science Applied Math Statistics Computer Science Mathematics or other closely related field and at least 2 years of professional experience

• OR an MS/MBA with at least 5 years of professional experience in Data Science Applied Math Statistics Computer Science Mathematics or other closely related field.

Preferred qualifications:

• Teaching experience either within a university (such as Adjunct Lecturer or Instructional Professor) or corporate training environment for professional education.

• Experience teaching for an online program.