Assistant​/Associate​/Professor - Precision Health

Position: Open Rank (Assistant/Associate/Full-Professor) - Precision Health
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 ability to conduct research within or adjacent to large-scale clinical platforms such as Epic, including the development or study of EHR-integrated workflows, clinical decision support, phenotype-driven pathways, secure orchestration layers, implementation frameworks, and outcome-focused deployment models.

This initiative is especially interested in faculty whose research sits at one or more points along the following translational continuum:

* EHR-integrated digital pathway design and evaluation

* Clinical decision support and workflow-aware informatics

* Secure clinical data infrastructure and governed research environments

* Clinical NLP, language technologies, and communication tools embedded in care delivery

* Real-world implementation, monitoring, safety, and continuous improvement of healthcare AI and digital tools

* Epic-connected genomics, phenotype-driven precision medicine, longitudinal registries, and genome-informed care pathways

* Methods for conducting scalable clinical, quality, and implementation research in secure enterprise health IT environments

The appointed faculty will hold a primary appointment in the College of Engineering while being embedded in the Center for Innovation in Health Informatics, with a secondary appointment at Cook Children's Health Care System. Successful candidates will be expected to build and lead independent, externally funded research programs and to contribute to the broader academic mission of UTA, including research, teaching, mentorship of graduate students and clinical trainees, and service.

Competitive startup packages, dedicated research personnel, access to high-performance computing, enterprise clinical datasets, and strong health-system partnerships provide an exceptional environment for faculty seeking to build nationally recognized programs at the intersection of precision genomics, clinical language intelligence, and AI-driven healthcare implementation.

https://(Use the "Apply for this Job" box below)./research

Responsibilities

The ideal candidate will be an internationally recognized scientist or physician-scientist with a proven record of impactful, productive research in one or more of the core domains and a strong commitment to translating research into real-world clinical care. UTA welcomes candidates whose programs focus deeply on specific diseases or disorder domains and who have achieved international recognition within those areas. At the same time, successful candidates will demonstrate a clear vision for developing approaches, methods, or platforms…