Artificial Intelligence & Machine Learning Programmer-(SBMI)

Texas Medical Center-Houston, TX

Artificial Intelligence & Machine Learning Programmer-(SBMI)

Location: Texas Medical Center-Houston, Texas


Category: Information Technology

UTHealth Houston School of Biomedical Informatics

Requisition #: 230002EB

What we do here changes the world. UTHealth Houston is Texas’ resource for healthcare education, innovation, scientific discovery, and excellence in patient care. That’s where you come in.

Once you join us you won't want to leave. It’s because we reward our team for the excellent service they provide. Our total rewards package includes the benefits you’d expect from a top healthcare organization (benefits, insurance, etc.), plus:

  • 100% paid medical premiums for our full-time employees

  • Generous time off (holidays, preventative leave day, both vacation and sick time – all of which equates to around 37-38 days per year)

  • The longer you stay, the more vacation you’ll accrue!

  • Longevity Pay (Monthly payments after two years of service)

  • Build your future with our awesome retirement/pension plan!

We take care of our employees! As a world-renowned institution, our employees’ wellbeing is important to us. We offer work/life services such as…

  • Free financial and legal counseling

  • Free mental health counseling services

  • Gym membership discounts and access to wellness programs

  • Other employee discounts including entertainment, car rentals, cell phones, etc.

  • Resources for child and elder care

  • Plus many more!

Position Summary:

The Artificial Intelligence & Machine Learning (AI & ML) Programmer will develop, implement and support artificial intelligence/machine learning solutions to enhance clinical workflows and patient care delivery. This role will focus on translating academic AI research into practical applications that provide measurable improvements in operational efficiency, patient outcomes and care quality.

Position Key Accountabilities:

  • Collaborate with clinicians, researchers and IT teams to identify high-impact areas for AI augmentation and create solutions tailored to organizational needs.

  • Design, develop and enhance AI/ML algorithms and models using healthcare data sets and machine learning best practices. Ensure outputs are interpretable, unbiased and clinically valid.

  • Lead integration of AI solutions into existing health IT systems including EHRs, medical devices and imaging equipment. Coordinate user testing and training.

  • Continuously monitor, analyze and optimize system performance. Identify and address bottlenecks and stability issues. Recommend workflow and process improvements.

  • Implement robust data pipelines, automation and MLOps to ensure reliable and scalable deployment of AI systems.

  • Stay up-to-date on AI/ML advancements and evaluate potential applications for the organization. Share knowledge and provide guidance to stakeholders.

  • Ensure compliance with regulations, standards and data governance policies related to clinical AI systems and software development.

  • Engage in multidisciplinary collaborations to ensure the AI models align with clinical needs and priorities.

  • Performs other duties as assigned.


  • None

  • Expertise in AI/ML algorithms, languages and frameworks for healthcare data Software engineering skills and understanding of clinical workflows

  • Ability to communicate complex topics clearly to cross-functional partners

  • Passion for advancing healthcare through responsible and innovative AI applications

  • Strong communication skills, with the ability to explain complex AI concepts to non-experts

Minimum Education:

  • Bachelor's Degree in Computer Science or relevant STEM degree required

  • Master's Degree in Computer Science or relevant STEM degree preferred

Minimum Experience:

  • 1 year experience with Translational AI and programming in Python, C++, other relevant languages required

  • 1 year experience with LLM-based applications preferred

  • 1 year experience with databases like Postgres and tools like Redis preferred

  • May substitute required experience with equivalent years of education beyond the minimum education requirement.

Physical Requirements:

Exerts up to 10 pounds of force occasionally and/or a negligible amount frequently to move objects.

Security Sensitive:

This job class may contain positions that are security sensitive and thereby subject to the provisions of Texas Education Code § 51.215

Residency Requirement:

Employees must permanently reside and work in the State of Texas.

If you are looking for a great healthcare career in Houston, visit!

University of Texas Health Science Center at Houston (UTHealth)

Established in 1972 by The University of Texas System Board of Regents, The University of Texas Health Science Center at Houston (UTHealth) is Houston’s Health University and Texas’ resource for health care education, innovation, scientific discovery and excellence in patient care. The most comprehensive academic health center in the UT System and the U.S. Gulf Coast region, UTHealth Houston is home to schools of biomedical informatics, biomedical sciences, dentistry, nursing and public health and the John P. and Kathrine G. McGovern Medical School. UTHealth Houston includes The University of Texas Harris County Psychiatric Center, as well as the growing clinical practices UT Physicians, UT Dentists and UT Health Services. The university’s primary teaching hospitals are Memorial Hermann-Texas Medical Center, Children’s Memorial Hermann Hospital and Harris Health Lyndon B. Johnson Hospital.

UTHealth Benefits

UTHealth Houston offers a comprehensive and competitive benefits package. For more information on our benefits programs please refer to the UTHealth Houston Office of Benefits Website.

Equal Employment Opportunity Statement

UTHealth Houston is committed to providing equal opportunity in all employment-related activities without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, genetic information, gender identity or expression, veteran status or any other basis prohibited by law or university policy. Reasonable accommodation, based on disability or religious observances, will be considered in accordance with applicable law and UTHealth Houston policy. The University maintains affirmative action programs with respect to women, minorities, individuals with disabilities, and eligible veterans in accordance with applicable law.

UTHealthHoustonhas adopted a policy consistent with CMS regulations to protect our patients and university community from exposure to COVID-19. This policy affects all employees, residents, fellows, students, contractors, new hires, visiting scholars program participants, adjunct faculty, and volunteers who work, train, or collaborate at the John S. Dunn Behavioral Science Center.

In addition, all UTHealthHouston​​​​​​​employees who are assigned to work at a location that is subject to the affiliated partner’s hospital, clinical offices, or agency are required to abide by UTHealth’sHoustonrules and regulations, as well as the affiliate’s rules and regulations, including COVID-19 vaccination and safety requirements.

Work location is based on the needs of the department and may be adjusted.