SUMMARY: 

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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