AI MR Imaging Scientist: Fast Acquisition & AI Reconstruction

GE HealthCare; Waukesha (WI); On-site; USD 130,000 - 195,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

GE HealthCare in the United States is seeking a technically skilled MR imaging researcher to join the Clinical Solutions & Research Collaborations team. You will develop and implement novel acquisition, reconstruction, and AI-embedded post-processing methods to accelerate imaging and improve robustness.

Collaborate with academic partners and GE HealthCare engineers to translate prototypes into product-ready solutions, publish findings, and contribute to strategic decisions.

Qualifications

• Advanced degree from an accredited university in a technical field such as engineering, computer science, math, or physics.
• Minimum of 4 years of relevant experience applying theoretical or experiential knowledge to solve real-world problems in MR image acquisition, reconstruction, image processing, or related application development.
• Strong knowledge of MR physics, including pulse sequences, acquisition techniques, k-space sampling, reconstruction strategies, image artifacts, and clinical imaging requirements.
• Proficiency with modern programming languages such as Python or C++, machine learning frameworks such as PyTorch or TensorFlow, containerized software environments, version control systems, and AI-enabled software development tools.
• Strong foundation in signal processing, inverse problems, and numerical optimization.
• Ability to work independently with minimal direction.
• Strong collaboration skills and desire to contribute to a common purpose.
• Can-do attitude; self-driven, flexible, intellectually curious, and willing to learn new skills and take on new challenges to meet business goals.
• Excellent English-language communication skills.

Responsibilities

• Design and implement advanced MR acquisition, reconstruction, and post-processing methods that improve scan speed, image quality, motion robustness, and clinical utility.
• Serve as technical lead for key academic and clinical collaborations, aligning research objectives with GE HealthCare product strategy and enabling rigorous scientific evaluation.
• Lead research and prototype development in accelerated imaging, motion correction, non-Cartesian imaging, quantitative imaging, and AI-enabled reconstruction.
• Translate promising and validated prototypes into product-ready solutions through internal collaborations with internal engineering, regulatory, and marketing teams.
• Conduct and disseminate original research through invention disclosures, peer-reviewed publications, conference presentations, and internal knowledge sharing.
• Communicate technical analyses, experimental results, and strategic recommendations to GE HealthCare leaders, engineering teams, clinical stakeholders, and academic collaborators.

Skills

MR physics

Python

C++

PyTorch

TensorFlow

AI-enabled tools

Signal processing

Numerical optimization

English communication

Education

Advanced degree in engineering or related technical field

Tools

Python

C++

PyTorch

TensorFlow

Docker

Git

Job description

GE HealthCare in the United States is seeking a technically skilled MR imaging researcher to join the Clinical Solutions & Research Collaborations team. You will develop and implement novel acquisition, reconstruction, and AI-embedded post-processing methods to accelerate imaging and improve robustness.

Collaborate with academic partners and GE HealthCare engineers to translate prototypes into product-ready solutions, publish findings, and contribute to strategic decisions.