Professional Practice Assistant Professor

Utah State University•Logan, UT

About The Position

The Data Analytics and Information Systems (DAIS) Department in the Jon M. Huntsman School of Business at Utah State University invites applications for a non-tenure-track Professional Practice Assistant Professor to support and strengthen our programs in data analytics, data science, bioinformatics, and health analytics, and to provide critical student mentoring within the Huntsman School’s Analytics Solutions Center. This academic-year (nine-month) faculty position will support the development and maintenance of programs of excellence in teaching, with an anticipated start date of August 1, 2026. Salary is competitive. An excellent benefits package includes retirement programs, life, medical, dental, and disability insurance. The successful applicant will have the appropriate professional background and academic experience to teach and mentor both undergraduate and graduate students through the Analytics Solutions Center, a center within the Huntsman School of Business that offers rigorous experiential learning opportunities connecting interdisciplinary student teams with real-world problems from partner companies and organizations. The candidate will also teach undergraduate and graduate courses using hands-on applications of data analytics, data science, machine learning, and AI. The candidate will design and continually refine the curriculum to reflect evolving industry techniques, tools, and platforms. They will also develop innovative, applied learning experiences that integrate real-world datasets, cloud environments, and deployable solutions. Qualified candidates will bring industry experience, a passion for teaching, and a proven track record of excellence in mentoring. They will also demonstrate a commitment to continual learning and staying current with emerging technologies.

Requirements

PhD in Statistics, Data Science, Quantitative Health or Psychology, Econometrics, or a related field
Three years or more of teaching in data analytics, statistics, or data science
Background and professional experience in healthcare analytics
Professional experience in consulting, advising of students, and technical mentorship
Highly effective communications skills, including listening, writing, and speaking
Demonstration of collegiality among peers and constituents
Strong commitment to outstanding undergraduate teaching and mentoring
Demonstration of teaching experience and effectiveness through student evaluations, peer evaluations, or achievement of learning outcomes
Ability to explain complex and technical concepts in an understandable way
Strong commitment to professional development and upskilling in the rapidly evolving tech and information systems environment
Willingness to serve colleagues and students through departmental, college, and university assignments
Resume/CV
Cover Letter

Nice To Haves

Proven track record in developing, maintaining, or contributing to major open-source software packages (e.g., R, Python) used in data science and reproducible research.
Expertise in complex modeling techniques, such as multilevel modeling, longitudinal data analysis, or mediation analysis, particularly within the human and health sciences.
Significant experience analyzing large-scale healthcare data, including electronic health records (EHR) and administrative claims, to drive clinical or operational outcomes.

Responsibilities

Teach and mentor both undergraduate and graduate students through the Analytics Solutions Center.
Teach undergraduate and graduate courses using hands-on applications of data analytics, data science, machine learning, and AI.
Design and continually refine the curriculum to reflect evolving industry techniques, tools, and platforms.
Develop innovative, applied learning experiences that integrate real-world datasets, cloud environments, and deployable solutions.