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Medical Image Processing Jobs (NOW HIRING)

Smith & Nephew

Senior Software Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

This includes applying knowledge of medical image processing and visualization techniques. * Collaborate effectively with cross-functional teams, including product managers, product owners, and ...

Rylo

Senior Camera Image Quality Engineer

San Francisco, CA · On-site

$104K - $141K/yr

The ideal candidate will be knowledgeable in a variety of areas including optics, image processing ... Medical, dental, and vision insurance * Easy access to snacks and drinks We may use artificial ...

Cleerly

Sr. ML Scientist

Boston, MA · On-site

Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection. * Proven track record ...

Rylo

Senior Camera Image Quality Engineer

San Francisco, CA · On-site

$104K - $141K/yr

The ideal candidate will be knowledgeable in a variety of areas including optics, image processing ... Medical, dental, and vision insurance * Easy access to snacks and drinks We may use artificial ...

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How much do medical image processing jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for medical image processing in the United States is $17.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $18.03 per hour, depending on experience, location, and employer.

What medical imaging job pays the most?

In medical image processing, radiologists and nuclear medicine physicians tend to have the highest salaries due to their advanced training and clinical responsibilities. Specialized roles such as medical imaging directors or radiology managers also earn high compensation, often exceeding $300,000 annually, especially with experience and certification. Technical roles like imaging scientists or MRI physicists may also command high salaries depending on their expertise and industry sector.

What does a typical day look like for someone working in Medical Image Processing?

A typical day in Medical Image Processing involves working with complex datasets from modalities like MRI, CT, or ultrasound, developing and testing algorithms to analyze or enhance images, and collaborating with clinicians to refine diagnostic tools. You may spend significant time coding, troubleshooting software, and interpreting medical images, as well as documenting your findings for clinical teams or research projects. Interaction with multidisciplinary teams—such as radiologists, researchers, and software engineers—is common, and the work is often project-driven with deadlines tied to clinical or research milestones. This dynamic environment offers continuous learning opportunities as technology and medical practices evolve.

What kind of jobs can you get with a medical imaging degree?

A medical imaging degree can lead to roles such as radiologic technologist, MRI or CT technologist, medical image analyst, or imaging specialist. These jobs typically require knowledge of imaging equipment, patient care, and sometimes certification or licensing, and are often performed in hospitals, clinics, or diagnostic labs.

Is image processing a good career?

Medical image processing is a specialized field within healthcare technology that involves analyzing and enhancing medical images using software tools and algorithms. It offers opportunities in hospitals, research institutions, and medical device companies, often requiring knowledge of programming, imaging techniques, and certifications. The demand for skilled professionals in this area is growing due to advances in medical imaging and diagnostics.

What is a Medical Image Processing job?

A Medical Image Processing job involves developing algorithms and software to analyze, enhance, and interpret medical images from modalities like MRI, CT, and X-ray. Professionals in this field work on tasks such as image segmentation, computer-aided diagnosis, and 3D reconstruction to support medical research and clinical decision-making. They often use machine learning, deep learning, and signal processing techniques to improve healthcare diagnostics and treatment outcomes.

What is image processing in the medical field?

Medical image processing involves analyzing and enhancing images such as X-rays, MRIs, and CT scans to assist in diagnosis and treatment. Professionals in this field use specialized software and techniques like filtering, segmentation, and 3D reconstruction to improve image clarity and extract relevant information.

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

To excel in Medical Image Processing, you need a strong background in biomedical engineering, computer science, or a related field, with expertise in image analysis, signal processing, and machine learning. Familiarity with programming languages such as Python or MATLAB, experience with medical imaging software (like ITK, 3D Slicer, or OsiriX), and occasionally certification in relevant technologies are highly valuable. Attention to detail, strong problem-solving skills, and effective communication are important soft skills for working collaboratively with radiologists and clinicians. These abilities ensure accurate, efficient processing and interpretation of medical images, ultimately supporting better patient outcomes and advancements in healthcare.

More about Medical Image Processing jobs
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Medical Image Processing jobs near you
Infographic showing various Medical Image Processing job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $36,656 per year, or $17.6 per hour.

Deep Learning Software Engineer

Black Canyon Consulting

Bethesda, MD • On-site

$122K - $147K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Key responsibilities

  • Develop deep learning models to support clinical decision-making for retinal diseases using retinal images, genomic data, and clinical records.

  • Develop algorithms for disease detection, severity classification, and longitudinal progression prediction, focusing on retinal diseases as well as organ-transplant and COVID-19 patient data.

  • Build and optimize deep learning tools for deployment on Android, iOS, and web-based platforms.

Job description

Overview

We are seeking a Deep Learning Software Developer to support projects at the Applied Clinical Informatics Branch (ACIB), Lister Hill National Center for Biomedical Communications (LHNCBC), National Library of Medicine (NLM), National Institutes of Health (NIH). This position involves applying deep learning techniques to biomedical images and clinical data for clinical decision-making and prediction. The role focuses on the development of tools for retinal disease detection, severity classification, disease progression prediction, and more. The ideal candidate will have a strong background in deep learning, particularly for medical image analysis, and experience with high-performance computing environments.

Key Responsibilities
  • Develop deep learning models to support clinical decision-making for retinal diseases using retinal images, genomic data, and clinical records.
  • Develop algorithms for disease detection, severity classification, and longitudinal progression prediction, focusing on retinal diseases as well as organ-transplant and COVID-19 patient data. 
  • Build and optimize deep learning tools for deployment on Android/iOS/Web-based platforms.
Required Skills and Experience
  • Ph.D. in a relevant field, or M.S. with 3+ years, or B.S. with 5+ years of relevant experience in image analysis and deep learning.
  • Proven experience writing manuscripts or papers for journals and conferences.
  • Extensive experience with medical image processing, data analysis, and classification techniques.
  • Expertise in developing custom deep learning workflows, including visualizing activations.
  • Strong understanding of machine learning techniques, including Support Vector Machines (SVM), Multilayer Perceptron (MLP), and Convolutional Neural Networks (CNNs).
  • Proficiency in Decision Tree algorithms such as Random Forest, XGBoost, and LightGBM.
  • Experience in statistical analysis of experimental results.
  • Familiarity with Linux and Windows environments.
  • Hands-on experience with high-performance GPU clusters and multi-GPU setups for deep learning tasks.
  • Expertise in programming with Python, Keras, and PyTorch.
  • Experience in developing Android, iOS, or web applications is a plus.
Required Professional and Personal Qualities
  • Strong organizational and time management skills, with flexibility to adapt to shifting priorities.
  • Ability to write clean, efficient, and well-documented code.
  • Excellent interpersonal skills, with the ability to both collaborate and work independently.
  • Strong oral and written communication skills, with the ability to clearly document projects and provide regular status reports.
  • Highly detail-oriented with the ability to manage multiple tasks and deliver results in a timely manner.
Benefits and Salary

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.

We offer a competitive salary commensurate with experience and location. 

Apply