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Dana-Farber Cancer Institute in Boston invites applications for a Postdoctoral Research Fellow in the Guthier Lab to advance photon and proton radiation therapy through AI-driven methods. You will develop automated treatment planning tools, perform data analyses, and contribute to adaptive workflows that improve clinical efficiency and patient outcomes.
The role emphasizes collaboration across physics, engineering, and clinical teams, with opportunities to publish and present research findings.
Join us as a Postdoctoral Research Fellow and help advance the next generation of photon and proton radiation therapy through cutting‑edge computational and AI‑driven innovation. This is an exciting opportunity to develop and apply advanced methods in automated treatment planning, artificial intelligence, adaptive treatment delivery, and clinical workflow optimization to improve both the quality and efficiency of radiation therapy.
In this role, you will contribute to the design and implementation of intelligent tools for treatment planning automation, image and data analysis, and adaptive radiation therapy workflows. Your work will have broad impact across both photon and proton therapy, with the opportunity to translate novel computational approaches into real‑world clinical practice and help shape the future of precision cancer care.
Potentially supervising undergraduate researchers
Dana‑Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.
The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications.
For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).
$72,000.00 - $76,385.00