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

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

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.

Other

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.