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Informatics Associate Jobs in Texas (NOW HIRING)

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Informatics Associate information

See Texas salary details

$39.6K

$91.7K

$155.1K

How much do informatics associate jobs pay per year?

As of Jul 10, 2026, the average yearly pay for informatics associate in Texas is $91,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $114,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Informatics Associates when working with interdisciplinary teams?

Informatics Associates often collaborate with professionals from diverse backgrounds such as IT, clinical staff, and data analysts. One common challenge is bridging the communication gap between technical and non-technical team members, as each group may use different terminology and have varying priorities. Additionally, aligning data standards and workflows across departments can be complex and requires strong problem-solving and negotiation skills. Developing an understanding of both the technical aspects and the practical needs of end-users is crucial for ensuring successful project outcomes.

What are the key skills and qualifications needed to thrive as an Informatics Associate, and why are they important?

To thrive as an Informatics Associate, you need a solid understanding of data analysis, information management, and database concepts, typically supported by a degree in informatics, computer science, or a related field. Familiarity with data visualization tools, SQL, EHR systems, and possibly certifications like Certified Health Data Analyst (CHDA) is highly valuable. Strong analytical thinking, attention to detail, and effective communication skills set outstanding candidates apart. These competencies are crucial for ensuring accurate data management, supporting informed decision-making, and facilitating collaboration across teams.

What is an Informatics Associate?

An Informatics Associate is a professional who supports the management, analysis, and interpretation of data within organizations, often in healthcare, research, or IT settings. They help design and maintain databases, ensure data quality, and assist with the use of information systems to improve decision-making. Informatics Associates often collaborate with IT staff, researchers, and other stakeholders to implement data-driven solutions that enhance efficiency and outcomes. Their role may involve data entry, report generation, and troubleshooting issues with data systems.

What is the difference between Informatics Associate vs Data Analyst?

AspectInformatics AssociateData Analyst
Required CredentialsBachelor's degree in health informatics, computer science, or related fieldBachelor's degree in statistics, mathematics, or related field
Work EnvironmentHealthcare settings, hospitals, clinicsBusiness, finance, healthcare, research
Employer & Industry UsageHealthcare providers, health IT companiesCorporations, research institutions, healthcare organizations
Common Search & ComparisonYesYes

The main difference between an Informatics Associate and a Data Analyst lies in their focus areas. Informatics Associates primarily work within healthcare settings, managing health data and supporting clinical workflows, while Data Analysts analyze data across various industries to inform business decisions. Both roles require similar educational backgrounds but serve distinct functions within their respective environments.

What are the most commonly searched types of Informatics jobs in Texas? The most popular types of Informatics jobs in Texas are:
What cities in Texas are hiring for Informatics Associate jobs? Cities in Texas with the most Informatics Associate job openings:
Infographic showing various Informatics Associate job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $91,683 per year, or $44.1 per hour.
Associate Director of AI/ML Research & Training

Associate Director of AI/ML Research & Training

University of North Texas System

Fort Worth, TX • On-site

Full-time

Re-posted 6 days ago


Job description

Title: Associate Director of AI/ML Research & Training

Employee Classification: Assoc Dir, Program Management

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: 92,940.00 - 111,528.00 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, Training Programs, AIM-AHEAD and the NIMHD Endowment.

Position Overview

The Associate Director, AI/ML Research and Training, provides leadership in advancing artificial intelligence and machine learning research and training initiatives within IHD. The role supports interdisciplinary research, develops training programs, and contributes to extramural funding efforts to enhance institutional research capacity and impact.

Minimum Qualifications

Bachelor's degree and a minimum of six (6) years of related experience; or any equivalent combination of education and experience.

Knowledge, Skills and Abilities

  • Advanced knowledge of AI/ML methodologies and applications in health research
  • Strong analytical, research design, and problem-solving skills
  • Experience with grant writing and extramural funding processes
  • Ability to lead interdisciplinary teams and training programs
  • Strong communication and collaboration skills across technical and non-technical stakeholders
  • Knowledge of data governance, reproducibility, and responsible AI practices

Preferred Qualifications

  • Doctoral degree (PhD, ScD, DrPH, or equivalent) in data science, computer science, biostatistics, biomedical informatics, or a related field with significant AI/ML focus.
  • Must be able to demonstrate experience applying AI/ML methods in biomedical, clinical, or public health research.
  • Experience with grant development and interdisciplinary collaboration required.

Job Duties

  • Lead and support AI/ML research initiatives across clinical, translational, and population health domains.
  • Collaborate with faculty to integrate AI/ML methodologies into research projects.
  • Contribute to study design, analytic strategies, model development, and validation.
  • Develop and oversee AI/ML training programs for faculty, fellows, and students.
  • Support development of grant proposals, including NIH and other federal funding opportunities.
  • Contribute to scholarly publications, presentations, and dissemination of research findings.
  • Facilitate collaborations across departments and with external partners.
  • Promote best practices in data stewardship, reproducibility, and responsible AI.

Physical Requirements

  • 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.