Ml Data Associate Jobs in Texas (NOW HIRING)

Postdoctoral Research Associate
Job no: 514555
Work type: Staff
Location: Fort Worth
Categories: Postdoctoral Research
Title: Postdoctoral Research Associate
Employee Classification: Postdoctoral Research Assoc.
Campus: University of North Texas - Health Science Center
Division: HSC-Div of Rsrch & Innovation
SubDivision-Department: HSC-Health Institutes & Centers
Department: HSC-Inst for Health Disparities-300220
Job Location: Fort Worth
Salary: $65,000 to $75,000 Depending on Experience
FTE: 1.000000
Retirement Eligibility: TRS Eligible
About Us - Values Overview
Welcome to the University of North Texas System. The UNT System includes the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and University of North Texas Health Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ students across our system, and awarding nearly 12,000 degrees each year.
We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we serve. We believe that we are Better Together because we foster an environment of respect, belonging, and access for all. We demonstrate Courageous Integrity through setting exceptional standards and acting in the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team.
Learn more about the UNT System and how we live our values at www.UNTSystem.edu.
Department Summary
The Institute for Health Disparities (IHD) conducts research, training and community
outreach in the areas of minority health, health disparities and workforce variety.
Constituting the IHD are the Texas Center for Health Disparities, National Research
Mentoring Network, Texas CEAL Consortium, HRSA, Training Programs, AIM-AHEAD and the NIMHD Endowment.
Position Overview
The Institute for Health Disparities (IHD) at the University of North Texas Health Science Center (HSC) is seeking a motivated Postdoctoral Research Associate with expertise in cancer prevention, cancer therapy, Artificial Intelligence & Machine Learning (AI/ML), data science, or related fields. The role focuses on applying advanced biomedical, translational, and computational methods to address public health challenges and promote health outcomes. The Postdoctoral Research Associate will collaborate with multidisciplinary teams to develop advanced tools and data solutions aligned with IHD's mission of advancing research, workforce development, and community engagement.
Minimum Qualifications
Doctoral degree. If not yet conferred, a letter from the school's official Graduate Office and/or Registrar's Office certifying that all requirements have been met and stating the degree conferral date can be accepted. Employees in this job may be responsible for conducting research on, working on, or having the ability to access critical organizational infrastructure and they must be able to maintain the security and integrity of the infrastructure related to this role.
Knowledge, Skills and Abilities

• Excellent communication skills
• Project organization/management skills
• Advanced training in quantitative research methods
• Ability to work independently and as a team member

Preferred Qualifications

• Design, implement, and evaluate AI-enabled tools, software applications, data pipelines, and digital platforms that support research, education, training, and community-focused initiatives
• Experience with programming languages, machine learning frameworks, and familiarity with computing in the cloud/on HPC
• Strong data visualization and communication skills for technical and non-technical audiences
• Experience with interdisciplinary or collaborative research environments
• Experience publishing in peer-reviewed journals or presenting at conferences
• Familiarity with STEMM, public health, or health disparities research (or related fields)
• Ability to manage multiple projects and meet deadlines in dynamic research settings
• Strong problem-solving and critical thinking skills

Required License/Registration/Certifications
Doctoral degree. If not yet conferred, a letter from the school's official Graduate Office and/or Registrar's Office certifying that all requirements have been met and stating the degree conferral date can be accepted. Employees in this job may be responsible for conducting research on, working on, or having the ability to access critical organizational infrastructure and they must be able to maintain the security and integrity of the infrastructure related to this role.
Job Duties

• Develop and apply research methodology including biomedical, AI/ML, data science, and digital technologies to advance IHD's mission across research, workforce development, and community engagement.
• Analyze and interpret complex datasets using statistical, computational, and machine learning methods, and communicate findings through reports, dashboards, visualizations, and presentations.
• Prepare manuscripts, participate in grant proposals, technical reports, educational materials, and presentations for scientific, professional, and community audiences/stakeholders.
• Support and train students, trainees, and other audiences in AI, data science, and computational methods through mentorship, technical instruction, and hands-on learning experiences that contribute to workforce development.
• Stay current with emerging trends and scientific literature, contribute to strategic initiatives by identifying emerging technologies, support proposal development, and help translate innovative ideas into impactful programs, products, or services.
• Collaborate with faculty, students, community partners, healthcare organizations, industry, and other stakeholders to develop innovative solutions, foster partnerships, and support interdisciplinary initiatives.

Physical Requirements

• Sedentary work that primarily involves sitting/standing.
• Lifting and Moving objects up to 20 pounds.
• Communicating with others to exchange information.

Environmental Hazards

• No adverse environmental conditions expected.

Work Schedule
Monday-Friday, 8:00am-5:00pm
Driving University Vehicle
No
Security Sensitive
This is a Security Sensitive Position.
Special Instructions
Applicants must submit a minimum of two professional references as part of their application. If needed, additional references can be added after the application has been submitted.
Benefits
For information regarding our Benefits, click here.
EEO Statement
The University of North Texas System is firmly committed to equal opportunity and does not permit -and takes actions to prevent - discrimination, harassment (including sexual violence, domestic violence, dating violence and stalking), and retaliation on the basis of race, color, religion, national origin, sex, age, disability, genetic information, or veteran status in its application, employment practices, and facilities; nor permits race, color, national origin, religion, age, disability, veteran status, or sex discrimination and harassment in its admissions processes, and educational programs and activities. UNT System Administration promptly investigates complaints of discrimination, harassment, and related retaliation and takes remedial action when appropriate. System Administration also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist, or participate in a related investigation or proceeding.
Advertised: 13 Jul 2026 Central Daylight Time
Applications close:
Whatsapp Facebook LinkedIn Email App