Healthcare · SOC 29-2036
Planning software is advancing fast, but dosimetric judgment and QA carry legal liability that requires a human sign-off.
Parts of the job are exposed, but judgment and context still matter.
Timeline: Auto-segmentation and AI-driven plan optimization are already in clinical trials; dosimetrists who master QA oversight of AI plans will stay essential, though planning workloads will shrink significantly within 7 years.
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$95,410 median pay
Healthcare
$37,040 median pay
$73,850 median pay
AI job-risk card
Medical Dosimetrists is watch on AIFear. Parts of the job are exposed, but judgment and context still matter.
AIFear.com
Our AI Fear Score for Medical Dosimetrists is 52/100 (Watch). Parts of the job are exposed, but judgment and context still matter.
52 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Designing radiation field arrangements using planning software, Calculating and verifying prescribed radiation doses, Identifying and outlining anatomical structures in imaging data, Conducting computational radiation oncology research. Harder to automate: Planning beam modifying devices for individualized treatment, Creating and transferring image-guided treatment references, Performing quality assurance calibrations on treatment systems, Clinical judgment on dose delivery under physician supervision.
Lean into AI-assisted treatment planning systems, Radiation oncology physics, Quality assurance in radiation therapy, Image-guided radiotherapy (IGRT). Consider roles such as Medical physicist or Radiation therapy supervisor or Clinical applications specialist in oncology.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.