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Remote Medical Image Processing Jobs (NOW HIRING)

Sr. Image Processing Engineer

Newton Center, MA ยท Remote

$107K - $146.90K/yr

The Senior Image Processing Engineer works at a high level with the entire life cycle of data classification algorithms and image processing, specifically for medical imaging, including analyzing ...

Expert Hyperspectral Image Scientist

Springfield, VA ยท Remote

$116.35K - $210.33K/yr

The Senior Hyperspectral Image Scientist will provide subject matter expertise in spectral data processing, algorithm development, image exploitation, and applied remote sensing science. This ...

Remote Medical Scheduler

Jupiter, FL ยท Remote

$29 - $33/hr

Remote Medical Scheduler Company Overview: Walbunn Tech Pro is a leading provider of technology ... We specialize in creating innovative software that streamlines processes and improves efficiency in ...

You'll draw on your hands-on experience with medical image analysis, CT/MRI segmentation, or ... Fully remote; work from anywhere with a reliable internet connection and access to a desktop or ...

Remote Medical Records Specialist Join a leading nationwide revenue cycle organization through ... Navigate CMS portals to process and enter case data into internal systems. * Review medical records ...

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Merge scanned images or build photo mosaics of large areas, using image processing software. Operate airborne remote sensing equipment, such as survey cameras, sensors, or scanners. Develop ...

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Remote Medical Image Processing information

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$13

$19

$25

How much do remote medical image processing jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote medical image processing in the United States is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.63 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Medical Image Processing Specialist, and why are they important?

To thrive as a Remote Medical Image Processing Specialist, you need a solid background in biomedical engineering, computer science, or a related field, with expertise in image analysis and processing techniques. Familiarity with programming languages like Python or MATLAB, as well as proficiency in specialized medical imaging software such as DICOM viewers and machine learning frameworks, is typically required. Attention to detail, problem-solving skills, and effective remote communication set standout professionals apart in this role. These capabilities are crucial for ensuring accurate analysis, collaboration with healthcare teams, and reliable outcomes in diagnostic and research applications.

What are some common challenges faced by professionals working in remote medical image processing roles?

Remote medical image processing professionals often encounter challenges such as maintaining data security and patient privacy while accessing sensitive images over secure networks. Collaborating with radiologists and other clinicians remotely can require clear communication and efficient use of digital collaboration tools. Additionally, ensuring high-quality image processing with limited on-site IT support or varying hardware capabilities can be demanding. Staying updated with evolving imaging technologies and compliance standards is also crucial for long-term success in this field.

What is remote medical image processing?

Remote medical image processing refers to the analysis and interpretation of medical images, such as X-rays, CT scans, or MRIs, using specialized software and tools from a remote location. Professionals in this field use secure internet connections to access and process images, often collaborating with healthcare providers who are located elsewhere. This approach allows for faster diagnoses, access to expert opinions regardless of location, and improved efficiency in medical workflows. It is widely used in telemedicine and teleradiology to support patient care in underserved or rural areas.

What is the difference between Remote Medical Image Processing vs Remote Radiology Technologist?

AspectRemote Medical Image ProcessingRemote Radiology Technologist
CredentialsTypically requires a background in medical imaging, certifications in imaging software, and sometimes radiologic technologist licensesRequires ARRT certification, radiologic technologist license, and clinical training
Work EnvironmentPrimarily computer-based, working with imaging data and software from remote locationsRemote reading or assisting with imaging procedures, often in a clinical setting or via teleradiology platforms
Employer & Industry UsageHospitals, imaging centers, teleradiology companies, medical software firmsHospitals, clinics, teleradiology services, healthcare providers

Remote Medical Image Processing focuses on analyzing and enhancing medical images using specialized software, often from a remote location. In contrast, Remote Radiology Technologists perform imaging procedures and may interpret images, requiring clinical radiologic credentials. Both roles are essential in medical imaging but differ in responsibilities and required certifications.

More about Remote Medical Image Processing jobs
What cities are hiring for Remote Medical Image Processing jobs? Cities with the most Remote Medical Image Processing job openings:
What are the most commonly searched types of Medical Image Processing jobs? The most popular types of Medical Image Processing jobs are:
What states have the most Remote Medical Image Processing jobs? States with the most job openings for Remote Medical Image Processing jobs include:
Sr. Image Processing Engineer

Sr. Image Processing Engineer

PaxeraHealth

Newton Center, MA โ€ข Remote

$107K - $146.90K/yr

Full-time

Posted 17 days ago


Job description

SUMMARY:ย 

The Senior Image Processing Engineer works at a high level with the entire life cycle of data classification algorithms and image processing, specifically for medical imaging, including analyzing data, writing reports, developing methods for feature extraction and classification, and researches basic to advanced image processing algorithms, gives presentations, and creates visual interpretations of data. Works on target detection and tracking, video georeferencing, implementing an image processing system, enhancing new software, and enabling immersive augmented and virtual reality experiences. Develops algorithms for real 3D images and accurate wireless tracking.

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

  • Have proven experience building reliable, secure, and scalable software solutions using modern cloud-based paradigms
  • Keep customers first in a DevOps model
  • Hands-on implementation of scalable Image processing solutions for the healthcare domain, using DICOM standard
  • DICOM environment configuration and setup of DICOM services like Store, Storage commitment, Query/Retrieve, and Modality Worklist
  • Develop and verify software algorithms that perform compression, segmentation, contour detection
  • Experience migrating DICOM data
  • Learn quickly and iterate rapidly in an evolving product landscape
  • Design distributed systems, DNS cache, data pipelines, platform APIs
  • Drive entire features, mentor junior developers, and cultivate a positive work environment
  • Strictly uphold the privacy and security of patient data obtained from our healthcare partners

REQUIRED EDUCATION AND EXPERIENCE

  • 5 years of experience in the development and integration of complex imaging systems and/or medical image diagnosis software
  • Experience in developing with C # and/or C++
  • 3 years of DICOM development and troubleshooting experience
  • Strong knowledge (3 years or more) of DICOM standards, having developed or extended servers such as dcm4che, Orthanc, etc.
  • Prior experience developing healthcare components (PACS, VNA, RIS) and workflows
  • Experience with one or more of DICOM, HL7 is a plus
  • Experience building DICOM-based integrations using IHE XDS standards for interoperability across healthcare systems
  • Experience with DICOM tools like DCMTK/JDICOM/OpenDICOM
  • Experience debugging native dlls, binary formats is a plus
  • Prior work on containers, Kubernetes is a plus
  • B.S. in Computer Science or related field. An M.S. or Ph.D. is a plus
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