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GE HealthCare

Staff Research Scientist – Reconstruction Physics

GE HealthCare

. Define and lead strategic research programs in medical image reconstruction, quantitative imaging, and imaging physics .

Posted 10/7/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in medical imaging algorithms, particularly in image reconstruction, and applies advanced modeling, numerical optimization, and statistical methods to drive innovation in imaging technologies. Proven ability to lead cross-functional teams, mentor researchers, and influence strategic research directions in alignment with market needs.

Highest-signal resume keywords
PhD In Biomedical EngineeringMedical Imaging AlgorithmsImage ReconstructionNumerical MethodsMonte Carlo Simulation

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Inverse ProblemsOptimizationStatistical ModelingQuantitative Nuclear Medicine ImagingTheranosticsMachine LearningAI MethodsReconstruction AlgorithmsPhysics-Based Imaging MethodsSoftware Prototyping
Soft Skills
Excellent CommunicationCollaboration SkillsMentoringScientific RigorTechnical Leadership
Tools & Technologies
MIM Software Product SuiteSPECT ImagingTomographic Imaging Modalities
Industry Keywords
Medical Image ReconstructionQuantitative ImagingImaging PhysicsScientific InnovationResearch Leadership

About the role

Key responsibilities & impact
  • Define and lead strategic research programs in medical image reconstruction, quantitative imaging, and imaging physics
  • Establish scientific direction for reconstruction technologies supporting future GE HealthCare product innovation, including the MIM Software product suite
  • Identify emerging scientific opportunities and guide long-term research investments
  • Lead cross-functional project teams involving scientists, engineers, clinical experts, and external collaborators
  • Design, prototype, and evaluate novel reconstruction algorithms and physics-based imaging methods
  • Apply advanced modeling, inverse problem techniques, numerical optimization, and statistical methods to imaging problems
  • Develop software prototypes to demonstrate and validate new concepts
  • Represent GE HealthCare in scientific working groups, standards efforts, and professional organizations
  • Publish research in peer-reviewed journals and present at scientific conferences
  • Build and maintain collaborations with academic institutions, research consortia, government agencies, and industry partners
  • Partner with clinical, engineering, product, and business leaders to align research strategy with customer and market needs
  • Influence technical roadmaps and advise internal stakeholders and leadership teams
  • Mentor scientists and engineers and promote scientific rigor, reproducibility, and technical excellence

Requirements

What you’ll need
  • Advanced degree (PhD strongly preferred) in Biomedical Engineering, Physics, Computer Science, Applied Mathematics, or a related discipline
  • Deep expertise in medical imaging algorithms with significant experience in image reconstruction
  • Demonstrated record of scientific innovation and independent research leadership
  • Strong foundation in numerical methods, inverse problems, optimization, and statistical modeling
  • Experience leading complex technical initiatives involving multiple stakeholders
  • Excellent communication and collaboration skills
  • Recognized expertise in SPECT or other tomographic imaging modalities
  • Expertise in Monte Carlo simulation and physics-based system modeling
  • Experience in quantitative nuclear medicine imaging and theranostics
  • Record of influential publications, invited presentations, patents, or other widely recognized scientific contributions
  • Experience leading external collaborations, multi-institution research programs, or scientific working groups
  • Experience mentoring researchers and providing technical leadership across organizations
  • Familiarity with machine learning and AI methods relevant to medical imaging

Benefits

Comp & perks
  • Total rewards package
  • Salary and benefits
  • Career opportunities
  • Culture fostering care, collaboration and support