Postdoctoral Fellow - Adaptive Proton Therapy Workflow

Dana-Farber Cancer Institute (DFCI); Boston (MA); On-site; USD 72,000 - 76,000; Full time

Job summary

Dana-Farber Cancer Institute in Boston seeks a Postdoctoral Research Fellow to develop and validate an adaptive upright proton therapy workflow. The role focuses on integrating upright CT imaging with an upright proton therapy system to enable anatomical assessment, dose recalculation, and adaptive plan changes throughout treatment.

The ideal candidate holds a PhD in Medical Physics, Biomedical Engineering, or Computer Science and will work with medical physicists, radiation oncologists, imaging

Qualifications

• PhD in Medical Physics, Biomedical Engineering, Computer Science or closely related field.
• Experience in medical physics, imaging, automation, and treatment planning is desirable.
• Strong analytical and collaborative skills.

Responsibilities

• Develop and validate an adaptive proton therapy workflow for upright treatment.
• Conduct phantom, volunteer, and potentially patient-based studies.
• Evaluate upright positioning and anatomical changes over the course of treatment.
• Develop automated tools for image registration, dose evaluation, adaptive planning, and quality assurance.
• Perform end-to-end validation of the full adaptive workflow.
• Establish quantitative criteria for triggering plan adaptation.
• Collaborate with medical physicists, radiation oncologists, imaging scientists, engineers, and industry partners.
• Present findings at major scientific meetings and lead publications.

Skills

Image registration

Programming

Proton therapy

Education

PhD in Medical Physics, Biomedical Engineering, Computer Science

Job description

Dana-Farber Cancer Institute in Boston seeks a Postdoctoral Research Fellow to develop and validate an adaptive upright proton therapy workflow. The role focuses on integrating upright CT imaging with an upright proton therapy system to enable anatomical assessment, dose recalculation, and adaptive plan changes throughout treatment.

The ideal candidate holds a PhD in Medical Physics, Biomedical Engineering, or Computer Science and will work with medical physicists, radiation oncologists, imaging