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Medical Image Analysis Jobs (NOW HIRING)

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 ...

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 ...

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 ...

Track record of publications in CV and medical image analysis is a plus * Hands-on experience with model optimization (e.g., network quantization and mixed-precision training) is a plus * Prior ...

Track record of publications in CV and medical image analysis is a plus * Hands-on experience with model optimization (e.g., network quantization and mixed-precision training) is a plus * Prior ...

Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis, MIDL etc.). * Proficiency in Python ...

Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis, MIDL etc.). * Proficiency in Python ...

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Medical Image Analysis information

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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:
Postdoc Fellow - Imaging Physics

Postdoc Fellow - Imaging Physics

MD Anderson

Houston, TX

$46K - $63K/yr

Full-time

Posted 18 days ago


MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

34th of 870 rated healthcare providers


Job description

A postdoctoral fellowship position is available in the Department of Imaging Physics in the laboratory of Chengyue Wu, PhD. Dr. Chengyue Wu's research interests focus on computational precision oncology, especially integrating computational/mathematical approaches with emerging biomedical imaging techniques to improve the diagnosis, prognosis, and treatment of human cancers. Dr. Wu has extensive experience on developing and validating image processing methods and image-guided models for investigating tumor growth and treatment response, tumor-associated vasculature and microenvironment, and drug delivery. The lab is in a highly collaborative research environment with access to world-class resources, expertise, and data. Current projects seeking postdoctoral fellows include:
Image-guided computational modeling ("digital twins") to predict and optimize cancer (especially breast cancer) treatment response on a patient-specific basis.
Development of deep learning models, longitudinal image analysis, and multi-modality data integration to improve breast cancer early detection.
LEARNING OBJECTIVES
This postdoctoral fellow will engage in highly productive interdisciplinary research projects in image-guided precision oncology and personalized cancer healthcare. The fellow will expand their knowledge and skills in quantitative imaging, image analysis, artificial intelligence (AI)/deep learning technologies, mathematical biomechanical modeling, inverse problems, and uncertainty quantification. The fellow will have opportunities to contribute to ongoing research projects and will be encouraged to explore and develop new areas of research interest with guidance from the mentor. The fellow will be expected to work closely with research/clinical collaborators, communicate findings via reports, abstracts, presentations, and publications, and actively participate in seminars, conferences, and related academic endeavors.
ELIGIBILITY REQUIREMENTS
Applicants should have earned a Ph.D. in one of the natural sciences, computer sciences, applied mathematics, engineering, or related fields or a medical degree. 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 appointment is not part of a clinical training program; individuals holding an M.D. degree or equivalent are not permitted to engage in patient care activity.
ADDITIONAL APPLICATION INFORMATION
The trainee will be appointed for one year from the date of hire with an option to be renewed for up to three years.
POSITION INFORMATION
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html


FACULTY MENTOR
Dr. Chengyue Wu


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