GE HealthCare
GE HealthCare
GE HealthCare izstrādā medicīnas tehnoloģijas un integrētus risinājumus precīzai aprūpei. Kā neatkarīgs veselības aprūpes tehnoloģiju uzņēmums tas darbojas medicīniskās attēlveidošanas, ultraskaņas un veselības aprūpes IT jomā, lai atbalstītu klīnicistus, uzlabotu slimnīcu efektivitāti un nodrošinātu precīzākas terapijas. Ievērojamais ieguldījums pētniecībā un izstrādē veicina nepārtrauktu diagnostikas un ārstēšanas tehnoloģiju attīstību, padarot GE HealthCare par saistošu galamērķi veselības aprūpes, medicīnas tehnoloģiju un saistīto farmācijas jomu profesionāļiem.

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.

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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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