CT Visualization SW Engineer
Galaxy Infotech Inc.
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Remote
Tech stack
.NET
Artificial Intelligence
C Sharp (Programming Language)
C++
Cloud Computing
Dicom
Memory Management
Medical Software
OpenGL
Performance Tuning
Software Engineering
Information Technology
Software Usability
Job description
CT Imaging & Visualization
- Design and implement 2D/3D CT visualization workflows, including MPR, MIP, volume rendering, and curved planar reformation
- Develop interactive tools for:
- Anatomical navigation
- Measurements and annotations
- Device sizing and placement simulation
- Optimize rendering performance for large CT datasets
Image Processing & Analysis
- Implement and integrate:
- CT segmentation algorithms
- Anatomical modeling and surface reconstruction
- Registration and co-registration techniques
- Ensure accuracy and reproducibility of quantitative measurements
- Validate algorithms against clinical datasets
Clinical & Cross-Functional Collaboration
- Work with clinicians to translate workflow needs into usable software
- Collaborate with product management and UX to refine visualization experiences Support regulatory documentation and design controls when required
Requirements
- Bachelor''s or higher in Computer Science, Engineering, Biomedical Engineering, or equivalent experience.
- 5+ years of professional software development experience
- Strong experience with: CT Imaging Data (DICOM) & Medical Image Visualization
- Proficiency in C++ and/or C#/.Net
- Strong familiarity with Visualization: VTK, OpenGL, GPU rendering
- Solid Understanding of
- 3D geometry and linear algebra
- Image processing fundamentals
- Performance optimization and memory management, * Experience with visualization or imaging libraries such as:
- DICOM toolkits (DCMTK, GDCM)
- Medical imaging workflows (PACS, VNA)
- Experience in Cardiac CT, structural heart, EP, or interventional planning
- Exposure to:
- AI/ML-based segmentation
- Cloud-based imaging solutions
- Prior work in regulated medical software (FDA, IEC, 62304)