MR Imaging Scientist, Artificial Intelligence

Role: Lead research and development in advanced MRI acquisition, reconstruction, and post-processing techniques, focusing on improving scan speed, image quality, and robustness through pulse sequence design, AI algorithms, and innovative post-processing. Responsibilities: serve as technical lead for academic and clinical collaborations, translating prototypes into product-ready solutions, and disseminating research via publications and conferences. Collaborate closely with internal engineering, regulatory, and marketing teams to align research with product strategy. Requirements: Master’s degree in engineering, computer science, math, or physics; 4+ years of experience in MR imaging, acquisition, or reconstruction; strong knowledge of MR physics and signal processing; proficiency in Python, C++, machine learning frameworks (PyTorch, TensorFlow); excellent communication skills. Preferred: experience in accelerated imaging, motion correction, non-Cartesian imaging, and AI-enabled reconstruction. HighValue: expertise in MRI physics, image processing, AI development, and cross-disciplinary collaboration within clinical and research environments. WorkSetup: not specified, likely hybrid or onsite based on collaboration needs.