Open Rank.
The University of Texas at Arlington
Behavioral Health Market Context
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Job Description
expansion in Precision Health and translational health sciences.
Position Overview UTA is launching a transformative, interdisciplinary cluster hire in AI-enabled precision medicine within UTA’s Center for Innovation in Health Informatics. This initiative integrates innovative programs in health-system–scale 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 Children’s Health Care System, one of the nation’s largest pediatric health systems. Through collaboration with the Research IT team at Cook Children’s, 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 clinician–patient 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 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.ResponsibilitiesThe 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 transl
Position Overview UTA is launching a transformative, interdisciplinary cluster hire in AI-enabled precision medicine within UTA’s Center for Innovation in Health Informatics. This initiative integrates innovative programs in health-system–scale 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 Children’s Health Care System, one of the nation’s largest pediatric health systems. Through collaboration with the Research IT team at Cook Children’s, 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 clinician–patient 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 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.ResponsibilitiesThe 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 transl
Qualifications
- •ResponsibilitiesThe 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
- •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
Benefits
Responsibilities
- •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 clinician–patient 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
- •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
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