As a Senior Research Scientist, you will lead the development of next‑generation medical imaging algorithms within a collaborative, multidisciplinary R&D team. You will contribute across a portfolio of advanced imaging research topics, with particular emphasis on quantitative nuclear medicine and 3D reconstruction methods.
This role is ideal for a scientist who combines strong theoretical foundations with practical implementation skills and is motivated to translate novel ideas into clinically impactful solutions.Job Description
Roles and Responsibilities:
Design, prototype, and evaluate novel algorithms for medical image reconstruction and analysis
Lead independent research initiatives while collaborating with clinical, engineering, and product teams
Apply physics-based modeling, numerical optimization, and statistical methods to complex imaging problems
Develop high-quality, production-oriented code to validate and demonstrate research concepts
Drive innovation beyond established methods and contribute new approaches to the field
Communicate results clearly through internal presentations, technical documentation, and external publications
Stay current with academic and industry advances and incorporate relevant techniques into research efforts
Required Qualifications:
Advanced degree (PhD preferred) and 3+ years in biomedical engineering, physics, computer science, applied mathematics, or related field
Strong background in medical imaging algorithms, particularly in PET, SPECT, CT, or related modalities
Experience with image reconstruction techniques
Solid foundation in numerical methods, inverse problems, and statistical modeling
Demonstrated ability to lead and execute independent research projects
Proficiency in Python, C/C++, or similar scientific programming environments
Desired Skills
Expertise in Monte Carlo simulation and physics-based modeling
Experience with nuclear medicine or quantitative radiopharmaceutical imaging physics or reconstruction
Familiarity with machine learning / AI methods applied to imaging
Demonstrated ability to develop and deploy algorithms in a product or translational research setting
Publication record in peer-reviewed journals or conferences
Experience mentoring or technically leading other researchers
You’ll Thrive Here If You:
Enjoy solving open‑ended, high‑impact problems at the intersection of physics, math, and software
Are motivated to move beyond incremental improvements toward state‑of‑the‑art innovations
Can bridge theory and implementation to deliver practical solutions
Value collaboration across disciplines including clinical science and engineering
We offer a dynamic and supportive work environment, opportunities for professional growth and development, and the chance to contribute to cutting-edge medical imaging technology that improves patient outcomes. If you are passionate about medical imaging and software development, and are looking for a challenging and rewarding role, we encourage you to apply for this exciting opportunity.
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.
GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
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.
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: Yes
GE Healthcare Chicago, Illinois, USA Office
Chicago, IL, United States
GE Healthcare Arlington Heights, Illinois, USA Office
Arlington Heights, United States
GE Healthcare North Barrington, Illinois, USA Office
North Barrington, United States
GE Healthcare South Barrington, Illinois, USA Office
South Barrington, United States
Similar Jobs
What you need to know about the Chicago Tech Scene
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory



