Instructor - Business Statistics

Job Details

UNO is Nebraska's public metropolitan research university - a university with strong academic values, diverse programs and learning opportunities, and significant relationships with our community that facilitate engaged teaching and research.

Instructor - Business Statistics

The Marketing & Entrepreneurship Department (M&E) in the College of Business Administration at the University of Nebraska at Omaha (UNO) invites applications for a full-time non-tenure-track Instructor position in Business Statistics to begin in August 2026. Applicants should demonstrate expertise in the application and/or teaching of statistical methods used in business decision-making contexts.

The new hire will teach business statistics and other quantitative reasoning courses as needed. This position will play a key role in maintaining curriculum currency and relevance, emphasizing technical competence, data-informed decision-making, and adaptability in a rapidly changing business environment. Full-time instructors also provide service to the department, college, university, and/or profession and maintain their qualifications through various professional engagement activities.

The position is initially a one- or two-year contract (fall and spring semesters), renewable based on performance. Instructors typically teach four course sections per semester and may have the opportunity to teach during the summer for additional compensation.

Required Qualifications

Successful candidates will possess a master’s degree in mathematics or a closely related field, or a PhD in social sciences from an accredited institution and demonstrate teaching of statistical methods or work experience involving application of statistical methods and tools.

Application Instructions

Qualified candidates are required to submit applications electronically at: https://unomaha.peopleadmin.com/postings/25605. Please include a cover letter, curriculum vitae or resume, a teaching statement or evidence of experience applying statistical methods and tools, and a list of 3 references (names and contact information) along with the application. Application review will begin on July 5, 2026, and will continue until the position is filled.