"Assistant Professor, Statistics/Data Science, UC Blue Ash College"

Job Overview

The University of Cincinnati Blue Ash College Department of MPCS invites applications for a tenure-track position at the rank of Assistant Professor in Statistics/Data Science, intended to begin August 15, 2026. The American Association of University Professors serves as the collective bargaining agent for full-time faculty; see the Chapter's website (https://aaupuc.org) for details of the bargaining agreement.

Essential Functions

• Teach a range of statistics, data science, and business analytics courses at the freshman and sophomore levels including but not limited to Introduction to Statistics, Elementary Statistics, and Business Analytics I & II. Utilize various teaching pedagogies in the classroom, and be flexible with the use of different modes of instruction (face-to-face, fully online, and hybrid). The standard teaching load is 12 credit hours (usually four courses) per semester and may include daytime, evening, and/or weekend classes; class sizes normally range from 20 to 30 students.
• Participate in the governance and committee work of the Department, College, and University such as but not limited to search committees, the Technology Committee, and the Faculty Senate Academic Affairs Committee or any other committee with service need and/or opportunity.
• Engage in ongoing professional development in the discipline of Data Science/Statistics and/or the scholarship of teaching and learning such as attending workshops/seminars/conferences, presenting at seminars/conferences, and publishing articles.
• Faculty members will be expected to use our course management system (Canvas) and any textbook-specific systems, as well as other relevant classroom technology.
• Hold regular office hours to meet with students.

Minimum Requirements

All of the following prior to the effective date of the appointment:

• A Master's degree in Statistics, Data Science or in a related field. A degree in a related field requires at least 18 graduate credit hours in either Statistics or Data Science or a combination of both; and
• One (1) academic year of teaching experience in Statistics or Data Science at the college level as instructor of record.

Application Process

Candidates must apply online at jobs.uc.edu and upload the following documents to the “Additional Documents” section of the application:

• A curriculum vitae;
• A letter of application which describes in detail how the candidate's educational background and teaching experience make them highly qualified for the position;
• A statement of teaching philosophy;
• An unofficial copy of graduate transcripts;
• A list of at least three (3) professional references, with complete contact information, who can address the candidate's teaching experience.

Applications will be reviewed beginning early January of 2026 but the position will remain open until filled.

Compensation and Benefits

UC offers an exceptional benefits package designed to support your well-being, financial security, and work-life balance. (UC Benefits Link) Highlights include:

Comprehensive Tuition Remission

UC provides tuition remission for you and your eligible dependents, covering tuition costs for nearly all undergraduate and graduate programs offered by the university.

Robust Retirement Plans

As a UC employee, you won’t contribute to Social Security (except Medicare). Instead, you’ll choose between state pension plans (OPERS, STRS) or an Alternative Retirement Plan (ARP), with UC contributing 14–18% of your salary based on position.

Real Work-Life Balance

UC prioritizes work-life balance with a generous time-off policy, including:

Vacation and sick time

11 paid holidays and additional end-of-year paid time off (Winter Season Days)

6 weeks of paid parental leave for new parents

Additional Benefits Include:

• Competitive salary range of $63,000 - $66,000 based on experience
• Comprehensive health coverage (medical, dental, vision, prescription)
• Flexible spending accounts & wellness programs
• Professional development & mentorship opportunities

To learn more about why UC is a great place to work, please visit our careers page at https://www.uc.edu/careers.html