GE HealthCare
GE HealthCare
GE HealthCare develops medical technologies and integrated solutions for precision care. As a standalone healthcare technology company, it works across medical imaging, ultrasound, and healthcare IT to support clinicians, improve hospital efficiency, and enable more precise therapies. Its substantial research and development focus supports ongoing advances in diagnostic and treatment technologies, making GE HealthCare a relevant destination for professionals working in healthcare, medical technology, and related pharmaceutical fields.

MR Imaging Scientist, AI — GE HealthCare (Remote, Ohio)

Develop AI-based MR acquisition, reconstruction, and post-processing methods at GE HealthCare. Turn imaging research into clinically useful, product-ready solutions.

Description

  • Develop advanced MR acquisition, reconstruction, and post-processing methods
  • Enhance scan speed, image quality, motion robustness, and clinical usefulness
  • Lead technical work across academic and clinical collaborations
  • Connect research priorities with GE HealthCare’s product strategy
  • Direct research and prototyping in accelerated, motion-corrected, non-Cartesian, quantitative, and AI-enabled imaging
  • Convert validated prototypes into product-ready solutions
  • Partner with engineering, regulatory, and marketing teams
  • Produce and share original research through invention disclosures, publications, conferences, and internal knowledge exchange
  • Present technical findings, experimental outcomes, and strategic recommendations to leaders, engineers, clinical stakeholders, and academic partners

Requirements

  • Master’s degree in engineering, computer science, mathematics, physics, or another technical discipline from an accredited institution
  • At least four years of relevant experience applying theory or practical expertise to real-world MR acquisition, reconstruction, image processing, or related application development challenges
  • Deep understanding of MR physics, including pulse sequences, acquisition methods, k-space sampling, reconstruction approaches, image artifacts, and clinical imaging needs
  • Proficiency in Python or C++
  • Proficiency in PyTorch or TensorFlow
  • Experience working with containerized software environments
  • Experience using version control systems
  • Experience with AI-enabled software development tools
  • Strong grounding in signal processing, inverse problems, and numerical optimization
  • Capacity to work independently with limited direction
  • Strong collaborative abilities
  • Excellent communication skills in English
  • Legal authorization to work in the United States; visa sponsorship is unavailable
  • Successful completion of a drug screening when applicable

Benefits

  • Medical, dental, and vision coverage
  • Paid time off
  • 401(k) plan with potential employee and company contributions
  • Life, disability, and accident insurance
  • Tuition reimbursement
  • Professional development opportunities
  • Relocation assistance
  • Performance-based incentive compensation, potentially including cash bonuses and/or long-term incentives (LTI)

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