Staff ML Research Scientist (Clinical)
Rad AIFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
A PhD or Master’s degree (or foreign equivalent) in Medical Imaging, Physics, Computer Science, Biomedical Engineering, or a related field is required, along with 3+ years of experience in the Interventional healthcare industry or research.
Candidates need knowledge of Interventional procedures, anatomies, and clinical practice, plus excellent written and verbal communication skills and excellent customer relationship management abilities.
No sponsorship is available for this role now or in the future to work in the United States.
This is a full-time position.
GE Healthcare emphasizes making a meaningful impact, improving lives, unlocking ambition, and creating an environment where every voice makes a difference to build a healthier world.
Healthcare technology and data analytics provider
GE Healthcare provides a range of healthcare technologies and services aimed at improving patient care. Its main products include imaging systems, mobile diagnostic devices, patient monitoring solutions, and advanced software for data analysis. These products help medical professionals make informed decisions and enhance the efficiency of healthcare delivery. Unlike many competitors, GE Healthcare invests significantly in research and development, allocating $1 billion each year to innovate and enhance its offerings. The company’s goal is to support healthcare providers in delivering better patient outcomes, as evidenced by its technology supporting over 300,000 patients daily and managing 2 billion patient scans each year.