
Senior Imaging Engineer
2 days ago
- Develop accurate and efficient algorithms for anatomical segmentation from CT datasets.
- Design pipelines for 3D volume reconstruction and mesh creation for visualization and computational modeling.
- Improve imaging pipeline performance with algorithmic and code-level enhancements.
- Apply ML models to automate and enhance segmentation and classification tasks.
- Partner with radiologists and clinical users to validate imaging tools and incorporate real-world feedback.
To be successful in this role, you will need strong programming proficiency in Python or C++, hands-on experience with image processing libraries such as ITK, VTK, Simple ITK, OpenCV, and machine learning frameworks such as TensorFlow, PyTorch.
You will also need experience with medical image data, especially CT, knowledge of 3D mesh processing, smoothing, and surface optimization, and familiarity with DICOM formats and PACS systems.
A Master's or Ph.D. in Biomedical Engineering, Medical Physics, Computer Science, or a related field is preferred.
This role requires strong analytical and problem-solving capabilities, effective communication and collaboration across interdisciplinary teams, and the ability to prioritize tasks and manage multiple projects in a fast-paced setting.
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