Senior Algorithm Engineer – CT Image Post-Processing

About the Role:

We are seeking a Senior Algorithm Engineer to lead the design and development of advanced CT image post-processing modules for our next-generation medical imaging platform. This is a product-focused role, ideal for someone passionate about turning robust algorithms into reliable, scalable, and clinically impactful software.

You will contribute to or lead the development of post-processing solutions across multiple CT imaging domains — including CT perfusion, vessel analysis, lung and cardiac quantification, and 3D visualization — using either traditional computational methods or AI-driven techniques. Expertise in one of these areas is essential; experience in both is a strong plus.

Key Responsibilities:

1. Architect and implement production-ready algorithms for CT image post-processing, including: brain/liver/tumor perfusion, vascular analysis, coronary analysis, lung quantification, virtual endoscopy, 3D visualization, and automated tissue segmentation
2.  appropriate computational techniques (traditional or AI-based) depending on use case constraints (accuracy, speed, robustness).
3.  Integrate algorithms into real-world clinical pipelines and work closely with software engineers on deployment.
4. Benchmark algorithm performance, conduct ablation studies, and support clinical validation efforts.

Required Qualifications:

1. M.S. or Ph.D. in Biomedical Engineering, Medical Imaging, Computer Science, Applied Mathematics, or a related field.
2. 5 years of hands-on experience in CT image processing algorithm development, with a track record of product delivery.
3. Deep expertise in at least one of the following: Classical imaging algorithms: segmentation, registration, deconvolution, morphology, thresholding; AI-based approaches: deep learning for 2D/3D medical image analysis (U-Net, V-Net, transformers, etc.)
4. Strong coding skills in Python, C , or MATLAB.
5. Proficiency with medical image formats and libraries: DICOM, NIfTI, SimpleITK, NiBabel, OpenCV, etc.
6. Experience working with clinical imaging data in real-world workflows (brain, chest, or cardiac CT).

Preferred Qualifications (Nice to Have):

·        Experience in both traditional and deep learning-based methods for medical image analysis.

·        Familiarity with clinical perfusion analysis, stroke imaging, or cardiac CTA.

·        Knowledge of or experience contributing to FDA-cleared or CE-marked medical software products.

·        Hands-on experience with AI frameworks such as PyTorch, TensorFlow, or MONAI.

·        Familiarity with real-time 3D visualization platforms (e.g., VTK, Slicer, MeVisLab).