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Clinical Ai Informatics Jobs in Texas (NOW HIRING)

Mercor

Registered Nurse - AI Trainer

Houston, TX · Remote

$55 - $65/hr

Experience reviewing charts for quality improvement, utilization review, CDI, or clinical informatics. * Previous annotation, chart abstraction, or healthcare AI experience. Application Process ...

Humana

Lead Software Engineer - AI

Dallas, TX · On-site

Experience in healthcare, clinical informatics, or other highly regulated industries * Exposure to clinical NLP, medical coding, or EHR/FHIR data standards * Experience operating AI systems at scale ...

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All JobsClinical Ai Informatics JobsClinical Ai Informatics Jobs in Texas

Clinical Ai Informatics information

See Texas salary details

$48.4K

$96.5K

$152.8K

How much do clinical ai informatics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for clinical ai informatics in Texas is $96,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $107,600.00 per year, depending on experience, location, and employer.

What is clinical AI informatics?

Clinical AI Informatics is a specialized field that combines artificial intelligence (AI) and informatics to improve healthcare delivery, diagnostics, and patient outcomes. Professionals in this area develop, implement, and manage AI tools and data systems that help clinicians analyze complex medical data and make evidence-based decisions. Their work includes integrating AI algorithms into electronic health records, supporting predictive analytics, and ensuring data privacy and regulatory compliance. By leveraging advanced technologies, Clinical AI Informatics aims to make healthcare more efficient, accurate, and personalized.

What are the key skills and qualifications needed to thrive as a clinical AI informatics specialist?

To thrive as a Clinical AI Informatics Specialist, you need a strong background in healthcare, data analysis, and artificial intelligence, typically supported by degrees in health informatics, computer science, or related fields. Familiarity with clinical information systems, machine learning tools, programming languages like Python or R, and relevant certifications (e.g., Certified Professional in Healthcare Information and Management Systems) is highly valuable. Strong problem-solving abilities, communication skills, and a collaborative mindset help bridge the gap between technical teams and clinical stakeholders. These competencies ensure effective implementation of AI solutions that improve patient outcomes and streamline healthcare operations.

How does a clinical AI informatics professional typically collaborate with clinicians and IT teams to implement AI-driven solutions in healthcare settings?

Clinical AI Informatics professionals serve as a bridge between clinical staff and IT departments, facilitating the integration of AI tools into healthcare workflows. They work closely with clinicians to understand patient care needs and ensure that AI solutions align with clinical protocols. Simultaneously, they collaborate with IT teams to address data integration, system interoperability, and regulatory compliance. Effective communication and stakeholder management are critical, as these professionals must translate technical requirements into practical, patient-centered applications.

What is the difference between Clinical Ai Informatics vs Clinical Data Analyst?

AspectClinical Ai InformaticsClinical Data Analyst
Required CredentialsHealthcare background, data science or informatics certifications, programming skillsHealthcare or data analysis degrees, statistical knowledge, data management skills
Work EnvironmentHospitals, healthcare tech companies, research institutionsHospitals, clinics, healthcare organizations, research settings
Employer & Industry UsageHealthcare technology firms, hospitals, research institutionsHealthcare providers, clinics, health insurance companies
Common Search & Comparison IntentUnderstanding roles involving AI in clinical settingsAnalyzing clinical data for insights and reporting

Clinical Ai Informatics focuses on integrating artificial intelligence into healthcare workflows, requiring expertise in AI, programming, and healthcare systems. In contrast, Clinical Data Analysts primarily analyze clinical data to generate reports and insights, often with a focus on statistical analysis and data management. Both roles are vital in healthcare but differ in technical focus and responsibilities.

What are popular job titles related to Clinical Ai Informatics jobs in Texas?

For Clinical Ai Informatics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Clinical Ai Informatics jobs in Texas look for?

The top searched job categories for Clinical Ai Informatics jobs in Texas are:

What cities in Texas are hiring for Clinical Ai Informatics jobs?

Cities in Texas with the most Clinical Ai Informatics job openings:

Clinical Ai Informatics jobs near you
Infographic showing various Clinical Ai Informatics job openings in Texas as of August 2026, with employment types broken down into 3% As Needed, 72% Full Time, 18% Part Time, and 7% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $96,516 per year, or $46.4 per hour.

Open Rank (Assistant/Associate/Full-Professor) - Precision Health

The University of Texas at Arlington

Arlington, TX • On-site

Full-time

Medical, Retirement, PTO

Re-posted 12 days ago

University Of Texas At Arlington rating

7.7

Company rating: 7.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

264th of 628 rated colleges and universities

Job description

Position Information
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://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 decisionmaking 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).
Benefits at UTA
We are proud to offer a comprehensive benefits package to all our employees at the University.
To help you understand the full value of these benefits, we have created a tool that calculates the total worth of your compensation package. This tool takes into account all of the benefits that you are eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link:
https://resources.uta.edu/hr/services/records/compensation-tools.php
CBC Requirement
It is the policy of The University of Texas at Arlington to conduct a criminal background check on any applicant who is under final consideration for employment with the University.

This position may have access to critical infrastructure as defined by Section 113.001(2) of the Texas Business and Commerce Code. If so, to be hired for and continue to be employed in this position you must maintain the security or integrity of the infrastructure as set forth in Texas Executive Order GA-48. By assuming this position, and if you have access to critical infrastructure, you authorize the University to conduct routine background checks.
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.
Special Conditions for Eligibility Department Information
For additional information on our Engineering department, please go to:

https://www.uta.edu/academics/schools-colleges/engineering/academics
University Information
The University of Texas at Arlington (UTA) is located in the heart of the Dallas-Fort Worth-Arlington metroplex, a vibrant and diverse metropolitan area that is home to over 7 million people, one of the fastest-growing tech economies in the United States, and a wide array of arts, entertainment, and cultural activities. As a comprehensive teaching, research, and public service institution, UTA is dedicated to the advancement of knowledge through scholarship and creative work. With an enrollment of more than 42,000 students, UTA is the second largest in the University of Texas System. As a result of its combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 "Very High Research Activity" institution and nationally recognized for its commitment to student success and service. It ranks No. 5 in...

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