G
Not Specified Permanent

Jersey City, New Jersey · USA job

MR Imaging Scientist, Artificial Intelligence

GE Healthcare

Jersey City, New Jersey

Job description

Overview

In this role you will advance MR acquisition, reconstruction, and post-processing to accelerate scans and improve clinical utility. You will collaborate with academia and GE HealthCare teams to move research prototypes toward product-ready solutions. You will lead experimental work on accelerated and AI-enabled imaging, while disseminating findings and shaping strategy. This position offers the opportunity to impact clinical imaging through rigorous evaluation and cross-functional collaboration.

Compensation / Benefits
  • medical, dental, vision
  • paid time off
  • 401(k) with employer contribution opportunities
  • life, disability, and accident insurance
  • tuition reimbursement
  • relocation assistance
Responsibilities
  • Design and implement advanced MR acquisition, reconstruction, and post-processing methods to improve speed, image quality, and robustness
  • Act as technical lead for collaborations with academic and clinical partners, aligning research with product strategy
  • Lead research and prototype development in accelerated imaging, motion correction, non-Cartesian imaging, quantitative imaging, and AI-enabled reconstruction
  • Translate validated prototypes into product-ready solutions through internal cross-functional collaboration
  • Conduct and disseminate original research via inventions, publications, and conferences
  • Communicate technical analyses and recommendations to GE HealthCare leaders, engineering teams, and collaborators
Key requirements
  • Advanced degree in a technical field such as engineering, computer science, math, or physics
  • Minimum of 4 years of relevant MR-related experience
  • Strong knowledge of MR physics: pulse sequences, k-space, reconstruction, artifacts, clinical imaging needs
  • Proficiency with Python or C++, ML frameworks such as PyTorch or TensorFlow, containerized environments, version control, and AI development tools
  • Strong foundation in signal processing, inverse problems, and numerical optimization
  • Ability to work independently and collaborate effectively
  • Excellent English communication skills
  • Customer-focused, proactive, and capable of learning new skills to meet business goals
  • collaboration
  • self-driven
  • intellectually curious
  • MR physics and pulse sequences
  • k-space sampling and reconstruction
  • AI-enabled reconstruction

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