Sr. Ct Reconstruction Scientist

SUMMARY OF POSITION

Canon Medical Research USA, Inc. (CMRU) is seeking a Senior CT Reconstruction Scientist to join our CTBusiness Unit. In this role, you will join a world-class algorithm development team focused on advancing thestate of the art in CT imaging. You will contribute to the research and development of innovative imagereconstruction algorithms, image quality optimization techniques, advanced clinical workflows, and next generation CT technologies, including Photon Counting CT (PCCT).

This position offers an opportunity to work at the intersection of medical imaging, physics, mathematics, and artificial intelligence while helping shape the future of CT technology.

The Senior CT Reconstruction Scientist will report to the Senior Manager, CT Reconstruction.

This role is a regular, full-time position requiring a commitment of 37.5 hours per week. This is a hybrid rolebased in CMRU’s main office in Vernon Hills (Chicago), Illinois.

• Develop advanced algorithms to enhance image quality, quantitative performance, and clinicalworkflows for existing CT products.
• Design and implement reconstruction and image processing algorithms for next-generation CTplatforms, including Photon Counting CT.
• Develop, validate, and optimize X-ray physics and system models for CT imaging applications.
• Collaborate with cross-functional teams to support new product development and commercialization activities.
• Partner with clinical application teams to evaluate, optimize, and validate image quality and clinical performance.
• Collaborate with academic and industry partners on cutting-edge research initiatives.
• Contribute to publications, patents, and the company's intellectual property portfolio.
• Stay current with emerging technologies and advancements in CT reconstruction, AI/ML, and medical imaging.

• PhD in Electrical Engineering, Physics, Engineering Physics, Medical Physics,Mathematics, Computer Science, Biomedical Engineering, or related field in STEM.
• Demonstrated experience in tomographic image reconstruction, CT system modeling and data correction, and medical image processing
• Strong understanding of inverse problems, numerical methods, optimization techniques,and statistical modeling.
• Experience with Photon Counting CT or spectral imaging technologies is highly preferred.
• Experience applying machine learning and artificial intelligence techniques to imagingapplications is strongly preferred.
• Strong programming skills in C/C++, Python, MATLAB, or related languages.
• Experience in product development, translational research, or academic researchenvironments is preferred.
• Familiarity with CT clinical applications and workflows is a plus.

• Excellent analytical, problem-solving, and critical-thinking skills.
• Self-motivated, proactive, and capable of working effectively in both independent and collaborative environments.
• Strong verbal and written communication skills.
• Ability to read, analyze, and interpret scientific literature and technical publications.
• Ability to communicate complex technical concepts clearly and concisely to multidisciplinary teams and management.
• Demonstrated ability to manage multiple priorities in a fast-paced research and development environment.

Applicants must be authorized to work for any employer in the U.S. CMRU is unable to sponsor or takeover sponsorship of an employment visa for this position.

Canon Medical Research USA, Inc. (CMRU) is a multi-modality R&D organization creating next generation medical imaging systems. It is equipped with cutting-edge instrumentation, prototyping, hardware labs and scientific computing facilities to perform research targeted to pre-clinical and clinicalCT, PET, MRI, Ultrasound, and X-ray systems. For those who like to develop new technologies and research new ways of using them, Canon is a rewarding place to work.

At CMRU, you will have the opportunity to contribute to innovative medical imaging research while beingpart of a collaborative, mission-driven culture. You will lead a small team with meaningful direction and collaborate with global Canon Inc. operations. Our team operates in a flexible hybrid working environment.

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