Molecular Imaging Research Collaboration Scientist
GE HealthCare
Cincinnati, OH, US
Not specified (implied on-site in cincinnati, oh)
Position emission tomography (pet) expertise
Lead scientific engagement
Design feasibility studies
GE HealthCare is seeking a Molecular Imaging Research Collaboration Scientist in Cincinnati, OH, to lead scientific engagement in the development of innovative molecular imaging technologies, particularly focusing on PET. The ideal candidate will have a strong background in medical imaging, research, and collaborative problem-solving skills
Job Summary
Lead scientific engagement - shaping new innovations, designing feasibility studies, and generating evidence that advances next generation MI systems.
Combine knowledge of PET physics, reconstruction, engineering, and clinical needs to design and drive collaborative research projects aligned to short term, medium term, and long term business needs.
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation.
Matching Summary
Match Score: 85
GE HealthCare is seeking a Molecular Imaging Research Collaboration Scientist in Cincinnati, OH, to lead scientific engagement in the development of innovative molecular imaging technologies, particularly focusing on PET. The ideal candidate will have a strong background in medical imaging, research, and collaborative problem-solving skills.
Skills & Requirements
Must-have
Position Emission Tomography (PET) expertise
lead scientific engagement
design feasibility studies
generate evidence
PET physics and reconstruction knowledge
Python, R, Scala, Java, MATLAB programming
Nice-to-have
familiarity with large data sets
open source practices and frameworks
experience putting intelligent applications in production
High Performance Compute or GPU technologies
Key Requirements
Ph.D. Degree in an engineering or science field
Minimum 4 years of experience in medical imaging
Demonstrated experience in MI research and development
Hands-on experience applying machine learning and AI techniques
Strong analytical and problem-solving abilities
Strong track record and experience in publishing scientific articles