Assistant Professor in Healthcare Management

University of Texas at Dallas•Richardson, TX

52d

About The Position

The Naveen Jindal School of Management at The University of Texas at Dallas (UT Dallas) invites applications for a tenure-system Assistant Professor position in Healthcare Management. Candidates may come from business disciplines (e.g., Information Systems, Operations Management, Economics, Marketing) or from closely related fields (e.g., Industrial Engineering, Statistics, Data Science) with research agendas aligned with healthcare management. The successful candidate will hold their primary appointment in one of the Jindal School's core business disciplines according to their academic training and research focus, while also being affiliated with the newly established Healthcare Management Interdisciplinary Area. This dual affiliation provides an opportunity to contribute to both disciplinary scholarship and the interdisciplinary mission of advancing healthcare management, analytics, and innovation. Teaching responsibilities will include undergraduate and graduate courses in healthcare management, healthcare analytics/AI, and related areas. In addition to teaching, the position requires an active program of high-quality research and publication. Candidates are also expected to contribute to service activities within the university and the profession. The appointment commences for the fall 2026 semester.

Requirements

Candidates must have a PhD or equivalent in a relevant business discipline (e.g., Information Systems, Operations Management, Economics, etc.) or in a closely related discipline such as Industrial Engineering, Statistics, or Data Science with a research agenda aligned with business and healthcare management.
Candidates with ABD status will be considered at the application/interviewing stage.
Candidates are expected to demonstrate the ability to work effectively in a highly collaborative, engaging, and dynamic environment comprised of individuals with a range of backgrounds, skills, and perspectives.
We are seeking candidates able to produce research and scholarly or creative achievements that enhance the program and the discipline, and able to deliver high quality teaching using evidence-based practices to effectively engage students from a range of backgrounds and experiences.
An earned graduate degree appropriate to the academic discipline and a record of productivity and professional achievement.
To the extent this position requires the holder to research, work on, or have access to critical infrastructure as defined in Section 117.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity of the critical infrastructure is a minimum qualification to be hired and to continue to be employed in the position.

Nice To Haves

Preference will be given to candidates whose work advances the use of Artificial Intelligence (AI) and advanced analytics in healthcare.
A doctoral degree is required prior to joining, but those with ABD status will be considered at the application/interviewing stage.
Preference will be given to candidates whose work advances the use of Artificial Intelligence (AI) and advanced analytics in healthcare.

Responsibilities

Teaching responsibilities will include undergraduate and graduate courses in healthcare management, healthcare analytics/AI, and related areas.
Active program of high-quality research and publication.
Contribute to service activities within the university and the profession.
Demonstrate a commitment to teaching excellence
Prepare and teach undergraduate and/or graduate classes
Contribute assessment information and data as requested
Mentor and/or advise undergraduate and/or graduate students
Establish and/or continue an independent line of research
Continue to expand professional influence in the academic discipline through research and/or publication
Engage in service within the academic unit, the university, and the profession as appropriate based on teaching and research constraints
Teach three (3) classes each academic year