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 universitys growing research enterprise in large-scale precision medicine clinical AI and genomics. This cluster forms a cornerstone of UTAs RISE 100 initiative and its strategic expansion in Precision Health and translational health sciences. Position Overview UTA is launching a transformative interdisciplinary cluster hire in AI-enabled precision medicine within UTAs Center for Innovation in Health Informatics. This initiative integrates innovative programs in health-systemscale genome-informed care; clinical natural language processing and large language models for clinical data capture and communication; and hospital-grade AI implementation frameworks and system architecture into a unified translational ecosystem. This effort is conducted through a deep strategic partnership with Cook Childrens Health Care System one of the nations largest pediatric health systems. Through collaboration with the Research IT team at Cook Childrens faculty members will have access to enterprise-scale clinical data EHR -integrated research platforms production-adjacent AI infrastructure diverse pediatric cohorts and real-world clinical workflows that enable rapid translation from genomic insights through language intelligence to live clinical deployment. Investigators with translational research programs spanning one or more stages of a comprehensive clinical discovery-to-deployment platform are strongly encouraged to apply. This integrated pipeline spans: continuous clinical genomic data re-analysis massive parallel clinical biomarker postprocessing clinical NLP and LLM tool development (history-taking visit summarization and clinicianpatient communication) AI integration frameworks EHR adapters and orchestration layers validation monitoring governance and safety real-world clinical deployment longitudinal evaluation and continuous improvement. Each stage embeds big data science and implementation science at scale regulatory readiness bias mitigation equity considerations and measurable patient outcomes from inception. 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 Childrens 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. 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 thatwhile grounded in their domain expertisecan 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 solutionsincluding AI-driven diagnostics multimodal data integration and population-scale genomics infrastructureto support improved clinical decisionmaking and real-world implementation. Through partnerships with Cook Childrens and leading national research institutions CIHI serves as a hub for translational informatics innovation across North Texas. 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. Biomanufacturing Center: To help support the facilities needs associated with Biomanufacturing UTA is established a Biomanufacturing Center in Pegasus Park in Dallas. This 5003 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. UTAs 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. 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. 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 $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 ) Center for Artificial Intelligence and Big Data ( CARIDA ) Division of Data Science College of Science The University of Texas at Arlington Clinical Imaging Research Center 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 UTA has an established collaboration with Cook Childrens 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 ).
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.
Required Qualifications
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.
Required Experience:
IC
Job SummaryThe 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 universitys growing research enterprise in large-scale precision medicine clinical AI...
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 universitys growing research enterprise in large-scale precision medicine clinical AI and genomics. This cluster forms a cornerstone of UTAs RISE 100 initiative and its strategic expansion in Precision Health and translational health sciences. Position Overview UTA is launching a transformative interdisciplinary cluster hire in AI-enabled precision medicine within UTAs Center for Innovation in Health Informatics. This initiative integrates innovative programs in health-systemscale genome-informed care; clinical natural language processing and large language models for clinical data capture and communication; and hospital-grade AI implementation frameworks and system architecture into a unified translational ecosystem. This effort is conducted through a deep strategic partnership with Cook Childrens Health Care System one of the nations largest pediatric health systems. Through collaboration with the Research IT team at Cook Childrens faculty members will have access to enterprise-scale clinical data EHR -integrated research platforms production-adjacent AI infrastructure diverse pediatric cohorts and real-world clinical workflows that enable rapid translation from genomic insights through language intelligence to live clinical deployment. Investigators with translational research programs spanning one or more stages of a comprehensive clinical discovery-to-deployment platform are strongly encouraged to apply. This integrated pipeline spans: continuous clinical genomic data re-analysis massive parallel clinical biomarker postprocessing clinical NLP and LLM tool development (history-taking visit summarization and clinicianpatient communication) AI integration frameworks EHR adapters and orchestration layers validation monitoring governance and safety real-world clinical deployment longitudinal evaluation and continuous improvement. Each stage embeds big data science and implementation science at scale regulatory readiness bias mitigation equity considerations and measurable patient outcomes from inception. 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 Childrens 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. 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 thatwhile grounded in their domain expertisecan 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 solutionsincluding AI-driven diagnostics multimodal data integration and population-scale genomics infrastructureto support improved clinical decisionmaking and real-world implementation. Through partnerships with Cook Childrens and leading national research institutions CIHI serves as a hub for translational informatics innovation across North Texas. 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. Biomanufacturing Center: To help support the facilities needs associated with Biomanufacturing UTA is established a Biomanufacturing Center in Pegasus Park in Dallas. This 5003 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. UTAs 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. 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. 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 $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 ) Center for Artificial Intelligence and Big Data ( CARIDA ) Division of Data Science College of Science The University of Texas at Arlington Clinical Imaging Research Center 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 UTA has an established collaboration with Cook Childrens 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 ).
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.
Required Qualifications
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.
Required Experience:
IC
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