MR Imaging Scientist, Artificial Intelligence

Role: Lead development of advanced MRI acquisition, reconstruction, and post-processing methods to enhance scan speed, image quality, and clinical utility within GE HealthCare's MR Clinical Solutions team. Responsibilities: design and implement innovative imaging techniques, lead collaborations with academic and clinical partners, translate prototypes into product-ready solutions, and disseminate research through publications and presentations. Requirements: Master’s degree in engineering, computer science, math, or physics; 4+ years of experience in MR image acquisition, reconstruction, or related fields; strong knowledge of MR physics and signal processing; proficiency in Python or C++, machine learning frameworks, and software development tools; excellent communication skills. Preferred qualifications are not specified. High-value: focus on accelerated imaging, motion correction, non-Cartesian imaging, quantitative imaging, and AI-enabled reconstruction for clinical MRI; collaboration with research, engineering, regulatory, and marketing teams; translation of research into commercial solutions. Work setup: not specified, but implies an innovative, collaborative environment with a focus on research-to-product translation.