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Visiting Assistant Professor in Analytics & Information Systems; AIS; Non-Tenure Track

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: American Association of Blacks in Higher Education
Full Time, Seasonal/Temporary position
Listed on 2026-03-02
Job specializations:
  • Education / Teaching
    University Professor, Academic
  • IT/Tech
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Visiting Assistant Professor in Analytics & Information Systems (AIS) (Non-Tenure Track)

The Ohio University Department of Analytics and Information Systems (AIS) in the College of Business invites applications for one full-time, non-tenure track Visiting Assistant Professor position. We are seeking a dynamic and highly motivated instructor to teach courses in Analytics and Information Systems. The ideal candidate will possess strong technical expertise in Python-based analytics, business statistics, and database systems, along with the ability to translate analytical concepts into practical, business-oriented insights.

This position supports our mission to prepare students for data-driven decision-making roles in modern organizations. The position is in-person, on campus in beautiful Athens, Ohio. The appointment is set to begin Fall semester, August 16, 2026 and is a limited term position. For full consideration, applicants must apply online by April 4, 2026 at

About the AIS Department

The AIS Department offers a variety of teaching opportunities at the undergraduate and graduate level. Ohio University’s AIS Department takes pride in the ongoing success of our problem-based curriculum, our innovative, student-centered faculty, and our outstanding relationships with employers, partners, and alumni. The undergraduate business curriculum emphasizes applied learning and student engagement. We place a strong emphasis on high quality and innovative teaching.

We offer a highly collegial atmosphere and strong support services for both students and faculty.

About Ohio University College of Business

Ohio University’s College of Business is a top-ranked, AACSB-accredited business school that offers a hands‑on, personalized experience for students at the undergraduate and graduate levels. We’re agile professionals who are disciplined risk takers, life‑long learners, and curious global citizens. Our culture in the College of Business is one that is never complacent. We believe if there’s a better way, we should do it.

We’re motivated to serve our students first and we will always find ways to do, and be, better. This includes finding additional incredible faculty and staff like you. We hope you’ll join us. Learn more at (Use the "Apply for this Job" box below)..

Our Mission at the College of Business

We inspire innovators who strategically create value and motivate leaders who serve with grit and determination. We also nurture self‑aware citizens who better the world of business.

About Ohio University

Ohio University strives to be the best student‑centered, transformative learning community in America, where approximately 40,000 students realize their promise, faculty advance knowledge, staff achieve excellence, and alumni become global leaders. OHIO is committed to fostering, embracing, and celebrating diversity in all its forms. Our Athens Campus offers students a vibrant residential learning experience in one of the nation’s most picturesque academic settings.

Additional campuses and centers serve students across the state, and online programs further advance the University’s commitment to providing educational access and opportunity.

Ohio University Employee Benefits

Employees also enjoy a generous benefits package which includes health benefits and education benefits for employees and eligible dependents.

Minimum Qualifications

Master’s or doctoral degree in Information Systems, Analytics, Data Science, Statistics, Computer Science, or a closely related field by the start date of appointment.

Preferred Qualifications
  • Proficiency in Python programming, predictive modeling, prescriptive analytics, business statistics, and SQL and relational databases
  • Prior university‑level teaching experience
  • Experience teaching in online or hybrid formats
  • Strong communication and presentation skills
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