Postdoctoral AI Brain Imaging Scientist

Eli Lilly and Company; Philadelphia (Philadelphia County); On-site; USD 90,000 - 120,000; Full time

Job summary

Eli Lilly and Company is seeking a highly qualified postdoctoral scientist for the Advanced Image Analysis Group to advance AI-driven brain imaging endpoints in neurodegeneration research. You will design, implement, and validate methods applied to brain PET and MRI data, contributing to translational medicine and candidate selection.

The role emphasizes collaboration across internal and external teams, publication of results, and staying current with AI advances to strengthen imaging programs

Qualifications

• PhD in biomedical imaging, computer science, biomedical or computer engineering, or related field.
• Experience in medical image analysis, MRI and PET, and in developing AI-driven brain imaging endpoints.
• Strong publication record and ability to present at conferences.

Responsibilities

• Design, develop, and implement AI-driven image analysis methods for brain PET and MRI endpoints.
• Process and analyze PET and MRI data and improve analysis pipelines for efficiency.
• Collaborate with cross-functional internal teams and external partners to support imaging endpoints development and validation.
• Integrate and harmonize multi-modal imaging data to support research objectives.
• Present findings at scientific conferences and publish manuscripts in peer‑reviewed journals.
• Stay current with advances in AI and medical imaging and apply them to the team’s research.

Skills

AI-driven image analysis

Programming & deep learning

Scientific publishing

Communication skills

Education

PhD in Biomedical Imaging

PhD in Computer Science or Biomedical Engineering

Job description

Eli Lilly and Company is seeking a highly qualified postdoctoral scientist for the Advanced Image Analysis Group to advance AI-driven brain imaging endpoints in neurodegeneration research. You will design, implement, and validate methods applied to brain PET and MRI data, contributing to translational medicine and candidate selection.

The role emphasizes collaboration across internal and external teams, publication of results, and staying current with AI advances to strengthen imaging programs