Location: San Antonio, TX
Regular/Temporary: Regular
Job ID: 15498
Full/Part Time: Part Time
Position Information
The University of Texas at San Antonio (UT San Antonio) is a nationally recognized, top-tier public research university that unites the power of higher education, biomedical discovery and healthcare within one visionary institution. As the third-largest research university in Texas and a Carnegie R1-designated institution, UT San Antonio is a model of access and excellence - advancing knowledge, social mobility and public health across South Texas and beyond. UT San Antonio serves approximately 42,000 students in 320 academic programs spanning science, engineering, medicine, health, liberal arts, AI, cybersecurity, business, education and more. With 17,000 faculty and staff, UT San Antonio has also been recognized as a Top Employer in Texas by Forbes Magazine. Learn more online, on UT San Antonio Today or on X, Instagram, Facebook, YouTube or LinkedIn.
Salary Range: Commensurate with education, experience, and qualifications.
Job Type: Part Time, up to 19 hours a week
Posting Close Date: Applications will be accepted through 11:59 PM CDT on 06/11/2026. At the discretion of the hiring department, this posting may close once a sufficient number of qualified applications have been received.
Required Application Materials:
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Resume is required
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Cover Letter is preferred
Job Details
Job Summary
This grant-funded appointment is for one year, beginning September 1, 2026, or earlier. Renewal for a second year is possible, subject to mutual agreement, satisfactory performance, and funding availability
The successful candidate will join a collaborative research project aimed at developing optimal staffing and scheduling solutions for healthcare operations in a hospital system. The project addresses challenges related to clinical and operational uncertainty, as well as physician burnout and retention.
The successful candidate will lead research activities, including the development of predictive and prescriptive models and algorithms for healthcare operations and workforce planning. Responsibilities will include data analysis, optimization model development, stakeholder engagement, and translation of research findings into practical and implementable decision-support solutions. The candidate will also present findings to local, national, and international audiences and contribute to manuscript preparation and publication.
Core Responsibilities
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Responsible for complex or unusual research assignments requiring the development of new or improved techniques and procedures.
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Plans, schedules, and coordinates detailed phases of one or more parts of a research project, including devising new approaches to problems encountered, conducting operations security reviews, and assisting with progress/project reporting.
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Performs leadership duties to include assisting in the preparation of specifications and the development of techniques; supervision and training of student employees, interns, and volunteers; oversees staff using established procedures; and leads research teams in advanced multi-year research activities.
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Responsible for the evaluation, selection, and application of scientific techniques used in routine research.
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Performs professional research, including performing experiments; gathering and analyzing data and samples; setting up/operating equipment; and inspecting minor fabrication, erection, or assembly for conformance to specifications.
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Performs specified phases of research projects to include making and recording observations and measurements; compiles data; processes paperwork; maintains lab accounts; writes technical reports; and assists in writing and editing grants.
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Performs calculations to complete research test results; collates data; performs statistical analysis of lab results and maintains notes and log or computer database; performs basic procedures for computer-assisted data analysis.
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Trains incoming and existing students on experimental procedures and assists with students' papers before submission for journals or classes.
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Performs other duties as assigned.
Required Qualifications
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High School Diploma, Vocational Training, or Apprenticeship in a related field.
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Five (5) years of related work experience.
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Additional education may substitute for experience on a one year for one year basis.
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This position requires the ability to maintain the security and integrity of UT San Antonio and its infrastructure.
Preferred Qualifications
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Bachelor's degree in a relevant field, including management science, industrial engineering, operations research, data analytics, computer science, machine learning, or a related quantitative discipline.
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Candidates should have a strong academic record, along with expertise in predictive and prescriptive analytics and decision-making under uncertainty, including experience in scheduling, healthcare operations, resource management, and stochastic processes.
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Preference will be given to candidates with experience collaborating with healthcare practitioners and operational stakeholders, and with demonstrated ability to develop real-world, implementable analytical and decision-support solutions in healthcare or related applied settings.
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Strong programming and data analysis skills (e.g., Python, R, and other statistical or machine learning tools) are highly desirable.
Knowledge, Skills, and Abilities
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Collaboration
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Attention to Detail
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Work Independently
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Verbal and Written Communication
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Organizational Skills
Working Conditions
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Work environment and conditions may vary based on assigned duties and responsibilities.
Physical Demands
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Physical demands may vary based on assigned duties and responsibilities
This position will work primarily on campus. Travel and parking expenses are the employee's responsibility.
This position is contingent upon a successful background check. Verification of a valid driver's license and Motor Vehicle Record (MVR) may be completed as applicable. Applicants selected must be able to show proof of eligibility to work in the United States by time of hire.
Equal Employment Opportunity
As an equal employment opportunity and affirmative action employer, it is the policy of The University of Texas at San Antonio to promote and ensure equal employment opportunity for all individuals regardless of race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability or genetic information, and veteran status. The University is committed to the Affirmative Action Program in compliance with all government requirements to ensure nondiscrimination.
