Lead Research Collaboration Scientist, Mi

GE Healthcare GE Healthcare · Healthcare · Hawthorn, Victoria, Australia · Engineering / Technology

Lead scientific engagement for Molecular Imaging (MI) product teams and research partners, focusing on PET, to shape innovations, design studies, and generate evidence for next-generation MI systems. This role involves combining PET physics, reconstruction, and engineering knowledge with clinical needs, partnering across GEHC to transition research tools into products, and publishing impactful research. The scientist will also explore unmet clinical needs, manage collaborator networks, and identify industry trends.

What you'd actually do

  1. Combine knowledge of PET physics, reconstruction, engineering, and clinical needs to design and drive collaborative research projects aligned to short term, medium term, and long term business needs.
  2. Work with new technologies such as total body PET to support clinical implementation, adoption, and development of new clinical applications
  3. Partner across GEHC with scientists, engineers, and product leaders to develop prototypes, validate performance, and accelerate the transition of research tools into product‑ready solutions.
  4. Lead original research that results in impactful publications, conference presentations, and patent applications—elevating GE HealthCare’s leadership in MI innovation.
  5. Effectively communicate technical analyses and results to GEHC leadership, academic partners, and at scientific congresses and meetings.

Skills

Required

  • Ph.D. Degree in an engineering or science field
  • Demonstrated experience in MI research and development
  • Strong analytical and problem-solving abilities
  • Collaborative mindset
  • Passion for working in cross-functional teams
  • Proactive, curious, and adaptable approach
  • Strong track record and experience in publishing scientific articles
  • Excellent English language communication skills

Nice to have

  • Experience applying research and working in a clinical environment
  • Experience in developing with modern programming languages e.g. Python, R, Scala, Java, MATLAB etc.
  • Hands-on experience applying machine learning and AI techniques in imaging, signal processing, and/or development.
  • Experience with High Performance Compute or GPU technologies

What the JD emphasized

  • Ph.D. Degree in an engineering or science field such as Electrical Engineering, Biomedical Engineering, Computer Science, Applied Math, or Physics
  • Demonstrated experience in MI research and development
  • Strong track record and experience in publishing scientific articles, with key emphasis in MI physics and applications