What are the responsibilities and job description for the Open Rank (Assistant/Associate/Full-Professor) – Precision Health position at The University of Texas at Arlington?
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:
https://www.uta.edu/academics/schools-colleges/engineering/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 that—while grounded in their domain expertise—can generalize and scale across multiple diseases and clinical contexts. UTA is particularly interested in applicants whose programs bridge the basic, translational, and clinical continuum, with a strong history of support from NIH , NSF , ARPA -H, PCORI , and industry sponsors. Candidates should demonstrate scientific leadership through high impact publications, invited presentations, a track record of mentoring PhD students, postdoctoral scientists, and junior faculty, and proven experience in multidisciplinary team leadership and real-world clinical or EHR -based environments.
University Notables
Minimum requirements for this position include: (1) a Ph.D. or equivalent in one of the disciplines noted above or a related discipline that clearly aligns with a focus on Precision Health; (2) a strong publication record or potential in the field of expertise; (3) strong research program with existing external funding or potential for funding; and (4) commitment to quality teaching at the graduate and undergraduate levels.
Preferred Qualifications
Preferred qualifications include an internationally recognized or rapidly emerging research program in precision medicine, clinical AI, genomics, or biomedical informatics; a 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; and evidence of translating computational, genomic, or AI innovations into real-world clinical or healthcare settings.
Essential Duties And Responsibilities
The successful applicant will be committed to excellence in research, teaching, and service, and will be expected to 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, and contribute to professional service within UTA and the external community.
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
https://www.uta.edu/academics/schools-colleges/engineering/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 that—while grounded in their domain expertise—can generalize and scale across multiple diseases and clinical contexts. UTA is particularly interested in applicants whose programs bridge the basic, translational, and clinical continuum, with a strong history of support from NIH , NSF , ARPA -H, PCORI , and industry sponsors. Candidates should demonstrate scientific leadership through high impact publications, invited presentations, a track record of mentoring PhD students, postdoctoral scientists, and junior faculty, and proven experience in multidisciplinary team leadership and real-world clinical or EHR -based environments.
University Notables
- The Center for Innovation in Health Informatics accelerates the integration of advanced data science, engineering, and clinical analytics to transform healthcare delivery and precision medicine. CIHI develops scalable digital health solutions—including AI-driven diagnostics, multimodal data integration, and population-scale genomics infrastructure—to support improved clinical decision‑making and real-world implementation. Through partnerships with Cook Children’s and leading national research institutions, CIHI serves as a hub for translational informatics innovation across North Texas. https://cihi.uta.edu/
- The Institute of Biomanufacturing and Precision Medicine for North Texas ( IMPRINT ), first funded by the Texas Legislature in the 2024-25 biennium, is dedicated to making UTA a leader in advanced biomanufacturing and precision medicine innovation. IMPRINT combines biotechnology, biomanufacturing, precision medicine, health data sciences, and entrepreneurship to create a one-of-a-kind hub of innovation to enhance biomanufacturing, improve health outcomes, grow life science startups, and catalyze regional economic development in North Texas. https://imprint.uta.edu/
- Biomanufacturing Center: To help support the facilities needs associated with Biomanufacturing, UTA is established a Biomanufacturing Center in Pegasus Park in Dallas. This 5,003 sq. ft. facility with $5M in biomanufacturing equipment, established in partnership with Texas A&M Engineering Experiment Station, offers experiential training and process engineering, supporting translational research and clinical trial pathways. Process engineering includes upstream, downstream, analytical, and regulatory. Known as the National Center for Therapeutics Manufacturing 2 (NCTM2), the center provides automation and robotics, staging.
- UTA’s North Texas Genome Center, Life Science Core Facility, and Shimadzu Centers for Advanced Analytical Chemistry and Bio-Molecular imaging provide excellent access to instrumentation, service, and support for generation and analysis of a broad range of genomics, imaging, and analytical instruments and analyses. https://www.northtexasgenomecenter.com/ Shimadzu Institute for Research Technologies is a public-private partnership that provides UTA faculty access to over $25 million in state-of-the-art research instruments and facilities. https://shimadzuinstitute.org/
- Faculty members have excellent access to computational resources, including Texas Advanced Computing Center ( TACC ), and multiple HPCs on campus, including some GPU -heavy clusters as well as the molecular biology, flow cytometry, and imaging equipment in the Life Sciences Core Facility https://lscf.uta.edu/menu/
- $170M remodel and expansion of the Life Sciences Building will be complete in November 2027. The project includes a new addition and renovation of the existing building, adding modernized instructional labs and classrooms, adding research “Lab Neighborhoods,” and a multi-story student engagement area, all aimed at creating a collaborative environment.
- University of Texas at Arlington Research Institute ( UTARI ) https://utari.uta.edu/
- Center for Artificial Intelligence and Big Data ( CARIDA ) https://carida.uta.edu/
- Division of Data Science, College of Science, The University of Texas at Arlington https://www.uta.edu/academics/schools-colleges/science/departments/division-data-science
- Clinical Imaging Research Center https://circ-center.uta.edu/
- In 2024, UTA will launch the Arlington Study of Healthy Aging, a single-site, multiethnic, community-cohort study designed to support hypothesis-driven cross-disciplinary research on the mechanisms causing functional decline with age using advanced imaging, genetics and multi-omics, exercise science, neuroscience, and remote monitoring.
- Bone-Muscle Research Center https://bonemusclecenter.uta.edu/
- UTA has an established collaboration with Cook Children’s Health Care System through the new Pediatric Brain Health and Neurosciences Center that secure access to children with different neurological and neurodevelopmental disorders and to unique neuroimaging facilities, such as magnetoencephalography ( MEG ), 256 channel high-density electroencephalography (HD- EEG ), and transcranial magnetic stimulation ( TMS ).
Minimum requirements for this position include: (1) a Ph.D. or equivalent in one of the disciplines noted above or a related discipline that clearly aligns with a focus on Precision Health; (2) a strong publication record or potential in the field of expertise; (3) strong research program with existing external funding or potential for funding; and (4) commitment to quality teaching at the graduate and undergraduate levels.
Preferred Qualifications
Preferred qualifications include an internationally recognized or rapidly emerging research program in precision medicine, clinical AI, genomics, or biomedical informatics; a 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; and evidence of translating computational, genomic, or AI innovations into real-world clinical or healthcare settings.
Essential Duties And Responsibilities
The successful applicant will be committed to excellence in research, teaching, and service, and will be expected to 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, and contribute to professional service within UTA and the external community.