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Medical Image Analysis Jobs in Texas (NOW HIRING)

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

Experience with machine learning and deep learning techniques, mathematical modeling, or medical image analysis is preferred. Applicants do not need to be US citizens or permanent residents. This ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

Experience with machine learning and deep learning techniques, mathematical modeling, or medical image analysis is preferred. Applicants do not need to be US citizens or permanent residents. This ...

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX

$46K - $63K/yr

Experience with machine learning and deep learning techniques, mathematical modeling, or medical image analysis is preferred Applicants do not need to be US citizens or permanent residents. This ...

Medical Metrics

Client Services Manager

Houston, TX · On-site

Medical Metrics Inc. (MMI) is a fast-growing, independent imaging core laboratory based in Houston, TX. MMI provides image analysis and consulting services to medical device, biologics, and ...

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$12

$32

$63

How much do medical image analysis jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for medical image analysis in Texas is $32.84, according to ZipRecruiter salary data. Most workers in this role earn between $21.06 and $40.77 per hour, depending on experience, location, and employer.

What is medical image analysis?

A Medical Image Analysis job involves using advanced algorithms, artificial intelligence, and image processing techniques to analyze medical images such as X-rays, MRIs, CT scans, and ultrasounds. Professionals in this field develop and apply computational methods to assist in disease diagnosis, treatment planning, and medical research. They often work with radiologists, healthcare practitioners, and data scientists to improve accuracy and efficiency in medical imaging. This role requires expertise in machine learning, computer vision, and biomedical imaging.

What does a medical image analyst do?

Professionals in Medical Image Analysis typically spend their day processing and interpreting medical images such as X-rays, MRIs, or CT scans, using advanced software tools and algorithms. They collaborate closely with radiologists, clinicians, and data scientists to develop and validate imaging techniques, contribute to diagnosis, and improve workflow efficiency. Additional tasks often include optimizing image acquisition protocols, documenting findings, and maintaining quality assurance standards. This role may also involve participating in research projects, developing automated analysis tools, and providing technical support and training to healthcare staff.

What skills and qualifications are needed for medical image analysis?

To thrive in Medical Image Analysis, a strong background in biomedical engineering, computer science, or radiology, paired with expertise in image processing and data interpretation, is essential. Familiarity with specialized software such as MATLAB, Python libraries (e.g., OpenCV), and medical imaging systems (PACS, DICOM), as well as certifications in medical imaging or AI, are often required. Strong analytical thinking, attention to detail, and effective collaboration with clinicians and researchers are important soft skills. These competencies ensure accurate interpretation, diagnosis, and seamless integration of imaging insights into patient care.

Is medical image analysis a good career path?

Medical image analysis is a growing field within healthcare technology, involving the use of machine learning, computer vision, and imaging tools to assist in diagnosis and treatment planning. It offers opportunities in research, clinical settings, and industry, often requiring skills in programming, data analysis, and medical knowledge. The demand for specialists in this area is increasing as healthcare increasingly adopts advanced imaging techniques and AI solutions.

What is the highest paying medical image analysis career?

Senior roles in medical image analysis, such as Lead Radiology Data Scientist or Imaging Research Director, tend to have the highest salaries, often exceeding $150,000 annually. These positions typically require advanced skills in machine learning, deep learning, and experience with medical imaging tools like MRI or CT scan analysis, along with relevant certifications or advanced degrees.

What are the most commonly searched types of Medical Image Analysis jobs in Texas?

The most popular types of Medical Image Analysis jobs in Texas are:

What are popular job titles related to Medical Image Analysis jobs in Texas?

For Medical Image Analysis jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Medical Image Analysis jobs in Texas look for?

The top searched job categories for Medical Image Analysis jobs in Texas are:

What cities in Texas are hiring for Medical Image Analysis jobs?

Cities in Texas with the most Medical Image Analysis job openings:

Medical Image Analysis jobs near you
Infographic showing various Medical Image Analysis job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $68,297 per year, or $32.8 per hour.

POSTDOCTORAL RESEARCHER - Data Science and AI Core for Population Research - Xiao Lab [Req#: 931349,

Dallas, TX • On-site

UT Southwestern Medical Center
Hospitals • 10K+ employees

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

People enjoy working here

Good employer

Recommended by students

Learn more about UT Southwestern Medical Centerexternal

Full-time

Re-posted 8 days ago

Job description

Description
The Postdoctoral Fellow will play a key role in the CPRIT-funded Data Science and AI Core for Population Research (DAICOR), contributing to the development and deployment of advanced imaging-based AI tools to improve early cancer detection and population-level cancer research. Responsibilities include designing and implementing machine learning and deep learning models for medical image analysis across diverse cancer screening modalities (e.g., mammography, CT, ultrasound); developing pipelines for image preprocessing, harmonization, and integration with the DAICOR secure digital platform; and conducting rigorous validation studies to assess performance, bias, and generalizability of AI tools. The fellow will collaborate closely with clinicians, data scientists, and population researchers to extract imaging-derived biomarkers, support multimodal data integration, and contribute to scientific manuscripts and grant reports. Additional duties include assisting with training sessions and providing technical support to healthcare providers and researchers across Texas to facilitate the responsible and effective use of AI tools.
Qualifications
The ideal candidate will have a PhD in biomedical engineering, computer science, medical physics, or a related field, with strong experience in medical image analysis, machine learning, and coding in Python. Experience with large-scale imaging datasets and AI deployment in clinical or research environments is preferred.
Application Instructions
Interested individuals must upload a CV, cover letter, and a list of three references and email Guanghua.Xiao@UTSouthwestern.edu.

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