Full-Professor) – Precision Health

The University of Texas at Arlington Portal•Arlington, TX

1d•Hybrid

About The Position

The University of Texas at Arlington (UTA) is seeking to hire three tenured and tenure-track faculty members for a cluster hiring initiative focused on advancing large-scale precision medicine, clinical AI, and genomics. This initiative is a key part of UTA’s RISE 100 and its strategic expansion in Precision Health and translational health sciences. The positions are designed to build a leading program in health-system-embedded clinical informatics and precision health research. UTA is looking for investigators who can design, adapt, deploy, and evaluate digital pathways, workflow-integrated tools, secure data pipelines, and EHR-connected solutions within real healthcare environments. Candidates should be comfortable working in governed enterprise clinical settings and view the electronic health record as a platform for translational research, clinical workflow innovation, and learning health system improvement. Research within or adjacent to large-scale clinical platforms like Epic is particularly encouraged, 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. The initiative is especially interested in faculty whose research aligns with 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, and real-world implementation, monitoring, safety, and continuous improvement of healthcare AI and digital tools. Additionally, expertise in Epic-connected genomics, phenotype-driven precision medicine, longitudinal registries, genome-informed care pathways, and methods for scalable clinical, quality, and implementation research in secure enterprise health IT environments are of interest. Appointed faculty will hold a primary appointment in the College of Engineering, be embedded in the Center for Innovation in Health Informatics, and have a secondary appointment at Cook Children’s Health Care System. Successful candidates are expected to build and lead independent, externally funded research programs and contribute to UTA’s academic mission through research, teaching, mentorship, and service. UTA offers competitive startup packages, dedicated research personnel, access to high-performance computing, enterprise clinical datasets, and strong health-system partnerships to support faculty in building nationally recognized programs at the intersection of precision genomics, clinical language intelligence, and AI-driven healthcare implementation.

Requirements

Ph.D. or equivalent in a discipline related to Precision Health.
Strong publication record or potential in the field of expertise.
Strong research program with existing external funding or potential for funding.
Commitment to quality teaching at the graduate and undergraduate levels.
Comfortable operating in governed enterprise clinical environments.
View the electronic health record as a platform for translational research, clinical workflow innovation, and learning health system improvement.
Ability to conduct research within or adjacent to large-scale clinical platforms such as Epic.
Demonstrate scientific leadership through high impact publications, invited presentations, a track record of mentoring PhD students, postdoctoral scientists, and junior faculty.
Proven experience in multidisciplinary team leadership and real-world clinical or EHR-based environments.

Nice To Haves

Internationally recognized scientist or physician-scientist with a proven record of impactful, productive research.
Strong commitment to translating research into real-world clinical care.
Programs focus deeply on specific diseases or disorder domains and have achieved international recognition within those areas.
Clear vision for developing approaches, methods, or platforms that can generalize and scale across multiple diseases and clinical contexts.
Programs bridge the basic, translational, and clinical continuum.
Strong history of support from NIH, NSF, ARPA-H, PCORI, and industry sponsors.
Internationally recognized or rapidly emerging research program in precision medicine, clinical AI, genomics, or biomedical informatics.
Strong record of sustained extramural funding (e.g., NIH, NSF, ARPA-H, PCORI, foundations, or industry).
Demonstrated leadership of interdisciplinary research programs and mentorship of graduate students and postdoctoral scholars.
Evidence of translating computational, genomic, or AI innovations into real-world clinical or healthcare settings.

Responsibilities

Build and lead independent, externally funded research programs.
Contribute to the broader academic mission of UTA, including research, teaching, mentorship of graduate students and clinical trainees, and service.
Teach undergraduate and/or graduate courses.
Build and lead a team of student researchers.
Implement a program of externally funded research that yields top-tier publications.
Contribute to professional service within UTA and the external community.