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Medical Artificial Intelligence Radiologist Jobs in Texas

... medical condition (including cancer and genetic characteristics), genetic information, request for protected leave, marital status, sex, pregnancy, age (over 40), sexual orientation, gender, gender ...

... medical condition (including cancer and genetic characteristics), genetic information, request for protected leave, marital status, sex, pregnancy, age (over 40), sexual orientation, gender, gender ...

... medical condition (including cancer and genetic characteristics), genetic information, request for protected leave, marital status, sex, pregnancy, age (over 40), sexual orientation, gender, gender ...

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Medical Artificial Intelligence Radiologist information

See Texas salary details

$46.6K

$321.4K

$372.7K

How much do medical artificial intelligence radiologist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for medical artificial intelligence radiologist in Texas is $321,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $298,100.00 and $372,700.00 per year, depending on experience, location, and employer.

What is a Medical Artificial Intelligence Radiologist?

A Medical Artificial Intelligence Radiologist is a professional who combines expertise in radiology with advanced knowledge of artificial intelligence (AI) to interpret medical images and assist in diagnosing diseases. They use AI-powered tools and algorithms to analyze X-rays, CT scans, MRIs, and other imaging data, helping to improve accuracy, efficiency, and early detection of medical conditions. These specialists often collaborate with software developers, data scientists, and clinicians to develop and validate AI solutions that support clinical decision-making. Their role is evolving as AI technology becomes increasingly integrated into healthcare systems.

How does a Medical Artificial Intelligence Radiologist typically collaborate with IT specialists and other clinicians in their daily workflow?

Medical Artificial Intelligence Radiologists routinely work closely with IT professionals to ensure that AI tools integrate smoothly with hospital imaging systems and electronic health records. They also communicate with fellow radiologists and referring clinicians to interpret AI-generated findings, validate results, and discuss complex cases. This collaborative environment helps ensure that AI insights are clinically relevant and that patient care remains the top priority. Effective teamwork is essential for troubleshooting technical issues and optimizing the use of AI in diagnostic workflows.

What are the key skills and qualifications needed to thrive as a Medical Artificial Intelligence Radiologist, and why are they important?

To thrive as a Medical Artificial Intelligence Radiologist, you need a strong foundation in medical imaging, radiology, and AI principles, typically supported by a medical degree, radiology board certification, and specialized training in artificial intelligence applications. Familiarity with medical imaging software, AI diagnostic tools, programming languages such as Python, and experience with machine learning platforms are essential. Analytical thinking, attention to detail, and effective communication are critical soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualities are crucial to ensure accurate diagnoses, optimize AI integration in clinical workflows, and improve patient outcomes.

What is the difference between Medical Artificial Intelligence Radiologist vs Medical Radiologist?

AspectMedical Artificial Intelligence RadiologistMedical Radiologist
CredentialsTypically no medical degree; specialized AI trainingMedical degree (MD or DO), radiology residency, board certification
Work EnvironmentUses AI software to assist in image analysis, often in hospitals or clinicsInterprets medical images directly, works in hospitals, clinics, or imaging centers
Industry UsageSupports radiologists by providing AI-driven insightsPerforms diagnostic imaging interpretation and patient diagnosis

The Medical Artificial Intelligence Radiologist primarily functions as a support tool using AI algorithms to assist in image analysis, whereas the Medical Radiologist directly interprets medical images and makes diagnoses. Both roles are integral to radiology but differ in credentials, work environment, and responsibilities.

What are popular job titles related to Medical Artificial Intelligence Radiologist jobs in Texas?

For Medical Artificial Intelligence Radiologist jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Medical Artificial Intelligence Radiologist jobs in Texas look for?

The top searched job categories for Medical Artificial Intelligence Radiologist jobs in Texas are:

What cities in Texas are hiring for Medical Artificial Intelligence Radiologist jobs?

Cities in Texas with the most Medical Artificial Intelligence Radiologist job openings:

Infographic showing various Medical Artificial Intelligence Radiologist job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $321,393 per year, or $154.5 per hour.

Instructor - Medical Physics and Engineering [Req#: 963089, Position#: 131380]

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Posted 14 days ago


UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

108th of 893 rated healthcare providers


Job description

Description
An Instructor position is available immediately in the Division of Medical Physics and Engineering within the Department of Radiation Oncology at The University of Texas Southwestern Medical Center. This position is ideal for an individual interested in pursuing a career in computational medical physics, medical engineering, and clinical software development.
Applicants must have a Ph.D. in physics, engineering, applied mathematics, computer science, or a related discipline. Strong programming skills are essential. The ideal candidate will have a passion for scientific programming and demonstrated experience developing software tools for research or clinical applications. Excellent written and oral communication skills are also required, along with initiative, problem-solving ability, and a strong commitment to teamwork.
This position is part of an ongoing effort to translate our extensive research in artificial intelligence and other computational fields into clinical practice. Contributions to open-source software through platforms such as GitHub, Stack Overflow, and CodeProject are highly desirable.
Experience with web-based application frameworks, database management, and programming languages such as Python, C++/C#, JavaScript, and Go is preferred. Knowledge of Django, Docker, and Kubernetes is a strong plus.
The candidate is expected to work closely with clinical medical physicists and researchers in Medical Artificial Intelligence and Automation Lab (http://www.utsouthwestern.edu/labs/maia).

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