MR Imaging Scientist, Artificial Intelligence

Role: Lead research and development in advanced MR imaging techniques within GE HealthCare's Clinical Solutions team, focusing on innovative acquisition, reconstruction, and analysis methods. Primary objectives include designing and implementing high-speed, high-quality imaging algorithms, and translating prototypes into commercial products. Responsibilities encompass leading collaborative research with academic and clinical partners, advancing accelerated imaging, motion correction, non-Cartesian and quantitative imaging, and AI-driven reconstruction. The role involves disseminating scientific findings and aligning research with product strategy, ensuring clinical and regulatory readiness. Requirements: Master’s degree in engineering, computer science, math, or physics; at least 4 years’ relevant experience in MR image acquisition, reconstruction, or processing; strong knowledge of MR physics, pulse sequences, and clinical imaging; proficiency in Python or C++, machine learning frameworks (PyTorch, TensorFlow), and software development best practices; solid understanding of signal processing and optimization. Preferred skills include demonstrated publication record, experience with prototype-to-product pipelines, and collaboration with multidisciplinary teams. High-value specifics: focus on MRI imaging, including accelerated and motion-corrected techniques; involvement in research-to-product transition; potential publication and presentation activities. The position reports to senior leadership, involves collaboration with engineering, clinical, and academic teams, and is based in a hybrid work setting with relocation support.