Sr Reconstruction Scientist
Indexed description
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 role based in CMRU’s main office in Vernon Hills (Chicago), Illinois.
Responsibilities
- Develop advanced algorithms to enhance image quality, quantitative performance, and clinical workflows for existing CT products.
- Design and implement reconstruction and image processing algorithms for next-generation CT platforms, 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 imaging applications is strongly preferred.
- Strong programming skills in C/C++, Python, MATLAB, or related languages.
- Experience in product development, translational research, or academic research environments 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.
WHY JOIN CMRU?
www.research.us.medical.canon
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 clinical CT, 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 being part 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.
CMRU offers comprehensive and competitive medical, dental and vision benefits. Additionally, our employees enjoy:
- CMRU funded HRA or HSA
- 401(k)/Roth/Employer Match/Profit Sharing
- Disability and Life Insurance
- Generous Paid Time Off and 14 Holidays
We are an equal opportunity employer (EOE).
Our Way: Values in Action
Unity | Courage | Teamwork | Tenacity | Excellence
A vibrant organization is united behind a common vision, sharing common goals.
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