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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Numbers & Facts
Location
Newton, MA
Skills
Algorithmsunmatched
Application Programming Interface (API)unmatched
C++ Programming Languageunmatched
Cloud Computingunmatched
Compression Algorithmsunmatched
Computer Scienceunmatched
DNS (Domain Name System)unmatched
Data Analysisunmatched
Data Managementunmatched
Data Migrationunmatched
Data Visualizationunmatched
Debugging Skillsunmatched
DevOpsunmatched
Digital Imaging and Communications in Medicine (DICOM)unmatched
Distributed Computingunmatched
HL7 (Health Level 7)unmatched
Healthcareunmatched
Identify Issuesunmatched
Image Processingunmatched
Imaging Applicationunmatched
Information/Data Security (InfoSec)unmatched
Interoperabilityunmatched
Medical Diagnosisunmatched
Medical Imagingunmatched
Mentoringunmatched
Microsoft C# (C Sharp)unmatched
Modality Worklistunmatched
Picture Archiving and Communication System (PACS)unmatched
Privacy Controlsunmatched
Radiology Information System (RIS)unmatched
Reporting Skillsunmatched
Software Developmentunmatched
System Integration (SI)unmatched
Virtual Realityunmatched
Wireless Communicationsunmatched
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