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How much do biomedical machine learning jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for biomedical machine learning in Dallas, TX is $28.22, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $31.88 per hour, depending on experience, location, and employer.

What is a Biomedical Machine Learning job?

A Biomedical Machine Learning job involves developing and applying machine learning algorithms to analyze biomedical data for healthcare and research applications. Professionals in this field work with medical imaging, genomics, electronic health records, and wearable device data to improve disease diagnosis, treatment, and patient outcomes. They collaborate with researchers, clinicians, and data scientists to design predictive models and extract insights from complex biological data. This role requires expertise in machine learning, data processing, and domain-specific knowledge in healthcare or life sciences.

What does a typical day look like for someone in a Biomedical Machine Learning role?

A typical day in Biomedical Machine Learning involves cleaning and preparing biomedical datasets, developing or refining machine learning models, running experiments, and interpreting results in collaboration with domain experts such as bioinformaticians and clinicians. Professionals often participate in team meetings to discuss project goals, share insights, and adjust research directions based on feedback. The role may also involve reading scientific literature to stay current with new methodologies and contributing to academic publications or technical documentation. Working closely with both technical and healthcare-focused colleagues, you'll help translate data-driven insights into meaningful biomedical solutions that impact patient care or research outcomes.

What are the key skills and qualifications needed to thrive in the Biomedical Machine Learning position, and why are they important?

To thrive in Biomedical Machine Learning, you need a solid background in statistics, machine learning, programming (Python or R), and a strong understanding of biological or medical data, often supported by advanced degrees in computer science, biomedical engineering, or related fields. Experience with frameworks like TensorFlow, PyTorch, and familiarity with biomedical datasets is highly valued, and certifications in data science or biomedical informatics can be advantageous. Strong analytical thinking, communication skills, and the ability to collaborate with interdisciplinary teams are crucial soft skills. These competencies are vital to developing robust models that address complex healthcare challenges while ensuring scientific rigor and regulatory compliance.

What are the most commonly searched types of Biomedical Machine Learning jobs in Dallas, TX? The most popular types of Biomedical Machine Learning jobs in Dallas, TX are:
What are popular job titles related to Biomedical Machine Learning jobs in Dallas, TX? For Biomedical Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Biomedical Machine Learning jobs in Dallas, TX look for? The top searched job categories for Biomedical Machine Learning jobs in Dallas, TX are:
Biomedical Machine Learning jobs near you
Infographic showing various Biomedical Machine Learning job openings in Dallas, TX as of June 2026, with employment types broken down into 1% Internship, 3% As Needed, 79% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $58,694 per year, or $28.2 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

Posted 7 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.

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