Staff Research Scientist – Reconstruction Physics

We are seeking an internationally recognized scientific expert to lead pioneering research in medical image reconstruction and quantitative nuclear medicine imaging. In this senior research role, you will define scientific strategies, develop advanced reconstruction algorithms, and explore innovative physics-based methods that push the boundaries of imaging technology. Your work will help shape future product development while translating complex scientific advances into meaningful clinical applications. Collaborating with multidisciplinary teams and external research partners, you will influence technical roadmaps and advance the broader scientific community through publications, conferences, and professional organizations. You will also mentor researchers, champion scientific rigor, and foster innovation across organizational boundaries. This is an opportunity to combine deep technical expertise with scientific leadership and make a lasting impact on the future of medical imaging.

• Education: An advanced degree in Biomedical Engineering, Physics, Computer Science, Applied Mathematics, or a related discipline. A PhD is strongly preferred.

• Medical Imaging Expertise: Deep knowledge of medical imaging algorithms and substantial experience in image reconstruction, with demonstrated scientific innovation and independent research leadership.

• Technical Proficiency: Strong foundations in numerical methods, inverse problems, numerical optimization, statistical modeling, and physics-based imaging approaches.

• Research Leadership: Proven ability to lead complex technical initiatives, establish research direction, coordinate multidisciplinary stakeholders, and deliver high-impact scientific outcomes.

• Communication & Collaboration: Excellent written and verbal communication skills, with the ability to explain complex technical concepts, build partnerships, and influence decisions across scientific and organizational boundaries.

• Preferred Imaging Specialization: Recognized expertise in SPECT or other tomographic imaging modalities, quantitative nuclear medicine imaging, and theranostics.

• Advanced Modeling Experience: Familiarity with Monte Carlo simulation and physics-based system modeling is highly desirable.

• Scientific Recognition: A strong record of influential peer-reviewed publications, invited presentations, patents, or other recognized scientific contributions.

• External Research Partnerships: Experience leading multi-institution research programs, external collaborations, or scientific working groups.

• Mentorship & Technical Influence: Demonstrated experience mentoring researchers and providing scientific leadership across teams or organizations.

• Emerging Technologies: Familiarity with machine learning and artificial intelligence methods relevant to medical imaging.

• Professional Approach: A commitment to scientific rigor, integrity, transparency, ownership, and collaborative problem-solving, combined with a passion for advancing scientific discovery beyond incremental product improvements.