EU remote
Staff Research Scientist – Reconstruction Physics
About this role
Job Description Summary As a Staff Research Scientist – Reconstruction Physics, you will provide scientific leadership for next-generation reconstruction technologies in quantitative nuclear medicine imaging. You will lead research initiatives focused on SPECT image reconstruction, physics modeling, uncertainty quantification, and quantitative imaging methods, while helping shape both the GE HealthCare software product roadmap and the broader scientific direction of the field.
This role is intended for an internationally recognized expert who combines deep technical expertise with demonstrated influence across the research community. In addition to driving high-impact research programs, you will represent GE HealthCare through publications, scientific working groups, conference participation, and external collaborations that advance quantitative imaging science. You will work closely with research, engineering, clinical science, product management, and external academic partners to translate emerging scientific advances into clinically meaningful innovations.
GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. Job Description Roles and Responsibilities: Scientific Leadership Define and lead strategic research programs in medical image reconstruction, quantitative imaging, and imaging physics.
Establish scientific direction for reconstruction technologies that support future GE HealthCare product innovation, including our MIM Software product suite. Identify emerging scientific opportunities and guide long-term research investments in reconstruction and quantitative imaging. Lead cross-functional project teams, coordinating scientists, engineers, clinical experts, and external collaborators to deliver high-impact research outcomes.
Research and Technical Innovation Design, prototype, and evaluate novel reconstruction algorithms and physics-based imaging methods. Apply advanced modeling, inverse problem techniques, numerical optimization, and statistical methods to challenging imaging problems. Drive innovation beyond established approaches and contribute new scientific advances to the field. Develop high-quality software prototypes that demonstrate and validate new concepts.