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Medical Image Analysis Jobs (NOW HIRING)

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How much do medical image analysis jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for medical image analysis in the United States is $35.24, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $43.75 per hour, depending on experience, location, and employer.

What are the common daily responsibilities of someone working in Medical Image Analysis?

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 is a Medical Image Analysis job?

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 are the key skills and qualifications needed to thrive in the Medical Image Analysis position, and why are they important?

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.

More about Medical Image Analysis jobs
What cities are hiring for Medical Image Analysis jobs? Cities with the most Medical Image Analysis job openings:
What are the most commonly searched types of Medical Image Analysis jobs? The most popular types of Medical Image Analysis jobs are:
What states have the most Medical Image Analysis jobs? States with the most job openings for Medical Image Analysis jobs include:
POSTDOCTORAL RESEARCHER - Data Science and AI Core for Population Research - Xiao Lab

POSTDOCTORAL RESEARCHER - Data Science and AI Core for Population Research - Xiao Lab

University Of Texas Southwestern Medical Cent (The

Dallas, TX

Other

Medical, Retirement, PTO

Posted 18 days ago


UT Southwestern rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

103rd of 870 rated healthcare providers


Job 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.

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.

Interested individuals must upload a CV, cover letter, and a list of three references and email Guanghua.Xiao@UTSouthwestern.edu.

UTSouthwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. Asan equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis ofrace, color, religion, national origin, sex,sexual orientation, gender identity, gender expression,age, disability, genetic information, citizenship status, or veteran status.

This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.

Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.

To learn more about the benefits UT Southwestern offers, visithttps://www.utsouthwestern.edu/employees/hr-resources/

Benefits
    UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:
    • PPO medical plan, available day one at no cost for full-time employee-only coverage
    • 100% coverage for preventive healthcare - no copay
    • Paid Time Off, available day one
    • Retirement Programs through the Teacher Retirement System of Texas (TRS)
    • Paid Parental Leave Benefit
    • Wellness programs
    • Tuition Reimbursement
    • Public Service Loan Forgiveness (PSLF) Qualified Employer
    • Learn more about these and other UTSW employee benefits!

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