Sr. Image Processing Engineer
New
J
JobgetherHealthcare Technology
Remote opportunity based in the United States.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- At least 5 years of experience developing and integrating complex imaging systems and/or medical image diagnosis software.
- Required Skills
- KubernetesC#C++
Requirements
- Bachelor’s degree in Computer Science or a related technical field (Master’s or Ph.D. is a plus).
- At least 5 years of experience developing and integrating complex imaging systems and/or medical image diagnosis software.
- Strong development experience with C# and/or C++.
- At least 3 years of hands-on DICOM development and troubleshooting experience.
- Strong knowledge of DICOM standards, with 3+ years of experience developing or extending DICOM servers such as dcm4che or Orthanc.
- Experience developing healthcare technology components and workflows involving PACS, VNA, RIS, or similar systems.
- Experience building DICOM-based integrations using IHE XDS standards for interoperability across healthcare environments.
- Hands-on experience with DICOM development and diagnostic tools such as DCMTK, JDICOM, or OpenDICOM.
- Strong understanding of secure, reliable, and scalable software architecture, particularly within cloud-based or distributed environments.
- Ability to work effectively in a DevOps environment, collaborate across teams, and maintain a strong customer focus.
- Demonstrated ability to mentor less-experienced engineers and take ownership of complex technical initiatives.
Responsibilities
- Develop, implement, and validate scalable image processing solutions for healthcare applications, with a strong focus on medical imaging and DICOM-based workflows.
- Design and enhance algorithms for compression, segmentation, contour detection, feature extraction, classification, target detection, tracking, and related image processing capabilities.
- Configure, implement, and troubleshoot DICOM services, including Store, Storage Commitment, Query/Retrieve, and Modality Worklist.
- Build and support DICOM-based integrations and data migrations across healthcare systems, including interoperability workflows using IHE XDS standards.
- Design distributed systems, data pipelines, platform APIs, DNS caching solutions, and other scalable cloud-based components.
- Work with healthcare imaging ecosystems such as PACS, VNA, and RIS while ensuring reliable integration with clinical workflows.
- Contribute across the complete software development lifecycle, from technical design and implementation through testing, deployment, troubleshooting, and production support.
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