Open Rank (Assistant/Associate/Full-Professor) – Precision Health Bookmark this Posting Print Preview | Apply for this Job Please see Special Instructions for more details. To apply applicants should go to https://uta.peopleadmin.com/postings/33485 and submit the following materials:Required Documents:Curriculum VitaeCover Letter Describing:alignment with Precision Healthcurrent funding and future research
trajectory, andinterest in collaborative or translational opportunitiesStatement of ResearchStatement of TeachingContact information for 4 referencesApplicants are encouraged to address large-scale precision medicine, clinical AI, and genomics in their cover letter.The priority deadline for review is April 5, 2026. Questions may be addressed to provost@uta.edu.For more information about UTA, please visit:
http://www.uta.edu/uta. Posting Details Position Information Posting Number F00734P Position Title Open Rank (Assistant/Associate/Full-Professor) – Precision Health Department Provost Office Location Arlington Job Family Faculty Position Status Full-time Rank Open-T/TT Work Hours Standard Open to External and Internal FLSA Exempt Duration Funding expected to continue Pay Basis Monthly Benefits Eligible Yes Job
Summary The University of Texas at Arlington (“UTA”) is pleased to announce a cluster hiring initiative for three tenured and tenure-track faculty positions across mid- and established-career stages to advance the university’s growing research enterprise in large-scale precision medicine, clinical AI, and genomics. This cluster forms a cornerstone of UTA’s RISE 100 initiative and its strategic expansion in Precision
Health and translational health sciences. Position Overview UTA is launching a high-priority cluster hire focused on building a nationally leading program in health-system-embedded clinical informatics and precision health research. We seek investigators who perform impactful research by designing, adapting, deploying, and evaluating digital pathways, workflow-integrated tools, secure data pipelines, and
EHR-connected solutions in real healthcare environments. The search is particularly focused on candidates who are comfortable operating in governed enterprise clinical environments and who view the electronic health record not simply as a retrospective data source, but as a platform for translational research, clinical workflow innovation, and learning health system improvement. Applicants should demonstrate the
Summary from the source posting. Always confirm details on the institution's official career page.