MR Imaging Scientist, Artificial Intelligence

Scorpion Therapeutics; New York (NY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Relocation support

Job summary

GE HealthCare is seeking a Lead MR imaging R&D role within Clinical Solutions. You will drive high-speed, high-quality imaging algorithms and translate prototypes into commercial products.

Responsibilities include collaborating with academic/clinical partners, advancing accelerated and motion-corrected imaging, and AI-driven reconstruction while ensuring clinical and regulatory readiness. Hybrid work with relocation support is provided.

Qualifications

• 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++ and ML frameworks (PyTorch, TensorFlow).
• Solid understanding of signal processing and optimization.

Responsibilities

• Lead collaborative research with academic and clinical partners.
• Advance accelerated imaging, motion correction, non-Cartesian and quantitative imaging.
• Drive AI-driven reconstruction developments.
• Disseminate scientific findings and align research with product strategy.
• Ensure clinical and regulatory readiness of research outputs.

Skills

MR imaging

Image acquisition

Image reconstruction

Python

C++

PyTorch

TensorFlow

Machine learning

Signal processing

Optimization

Education

Master's degree in engineering/CS/math/physics

Tools

Prototype-to-product pipelines

Software development best practices

Job description

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.