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 DescriptionRoles 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.
External Scientific Leadership
- Maintain global expertise and scientific domain intellectual leadership both inside and outside GEHC.
- Represent GE HealthCare in scientific working groups, standards efforts, and professional organizations.
- Publish research findings in peer-reviewed journals and present results at leading scientific conferences.
- Build and maintain collaborations with academic institutions, research consortia, government agencies, and industry partners.
- Help shape the future direction of quantitative imaging and reconstruction science through visible technical leadership and community engagement.
Cross-Functional Influence
- Partner with clinical, engineering, product, and business leaders to align research strategy with customer and market needs.
- Influence technical roadmaps across multiple programs and organizational boundaries.
- Serve as a trusted scientific advisor to internal stakeholders and leadership teams.
Mentorship and Capability Building
- Mentor scientists and engineers across the organization.
- Promote scientific rigor, reproducibility, and technical excellence.
- Strengthen organizational capability through knowledge sharing, technical reviews, and research leadership.
Required Qualifications
- 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.
Desired Characteristics
- 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.
You'll Thrive Here If You
- Are motivated to advance the state of the art, not just deliver incremental product improvements.
- Enjoy connecting academic innovation with meaningful clinical impact.
- Want to help define future scientific directions for quantitative imaging and reconstruction.
- Can influence technical strategy both inside and outside the organization.
- Value collaboration and enjoy building communities around important scientific challenges.
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership –always with unyielding integrity.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.
Additional InformationRelocation Assistance Provided: No
Skills Required
- Advanced degree in Biomedical Engineering, Physics, Computer Science, Applied Mathematics, or a related discipline; PhD strongly preferred
- 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
- 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
GE Healthcare Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Healthcare and has not been reviewed or approved by GE Healthcare.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive, including medical, dental, and vision options with HSA-eligible choices and preventive care coverage. Mental health and well-being support programs are also emphasized as part of the overall package.
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Retirement Support — Retirement support is described as meaningful, with a 401(k) match and additional programs such as student-loan matching in some descriptions. Legacy pension and retiree medical obligations for certain closed groups also signal continued support for long-tenured populations.
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Strong & Reliable Incentives — Variable and role-linked earning opportunities appear attractive in some job families, including high on-target earnings potential in certain sales roles. Additional role-based perks like company cars and travel-related reimbursements further increase the perceived value of total rewards in those positions.
GE Healthcare Insights
What We Do
Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence. As a leading global medical technology and digital solutions innovator, GE Healthcare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform. With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world. We embrace a culture of respect, transparency, integrity and diversity.







