Will AI replace Medical Dosimetrists?

This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.

What does a score of 36 mean for a Medical Dosimetrists?

It means that, weighted across the 19 tasks we analyzed for this role, the task mix sits at 36 on a 0–100 exposure scale — in the third quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

The highest-exposure tasks are: Record patient information, such as radiation doses administered, in patient records. Exposure comes from the published, rubric-scored data release rather than being generated when you open this page.

Which parts of this job are most durable?

The most durable responsibilities are: Fabricate patient immobilization devices, such as molds or casts, for radiation delivery; Fabricate beam modifying devices, such as compensators, shields, and wedge filters; Measure the amount of radioactivity in patients or equipment, using radiation monitoring devices. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.

Medical Dosimetrists

Generate radiation treatment plans, develop radiation dose calculations, communicate and supervise the treatment plan implementation, and consult with members of radiation oncology team.

Also known as: Dosimetrist · Medical Physicist · Radiation Dosimetrist · Medical Radiation Dosimetrist · CMD (Certified Medical Dosimetrist) · Radiation Oncology Medical Physicist

AI Task Exposure Score

High exposure

More exposed than 53% of 968 occupations · Rank #418 (1 = most exposed)

This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.

Your free role snapshot

Start with the work, not the headline

This occupation baseline already contains different kinds of work. These are the two ends of its current task range and one useful action you can take now.

Most exposed task

Record patient information, such as radiation doses administered, in patient records.

Automatable 72/100 exposure

Most durable task

Fabricate patient immobilization devices, such as molds or casts, for radiation delivery.

Durable 15/100 exposure

Useful next step

Make one change to the task mix

Compare one real week with the exposed tasks, test one supervised delegation, and redirect the saved time toward more durable work.

Want this mapped to your actual week? Know what to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days.

Build my 7/30/90-day action plan — $9

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

Record patient information, such as radiation doses administered, in patient records.72

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

Perform quality assurance system checks, such as calibrations, on treatment planning computers.50
Design the arrangement of radiation fields to reduce exposure to critical patient structures, such as organs, using computers, manuals, and guides.45
Calculate the delivery of radiation treatment, such as the amount or extent of radiation per session, based on the prescribed course of radiation therapy.45

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

Fabricate patient immobilization devices, such as molds or casts, for radiation delivery.15
Fabricate beam modifying devices, such as compensators, shields, and wedge filters.18
Measure the amount of radioactivity in patients or equipment, using radiation monitoring devices.20

Task exposure values and classifications are published, versioned estimates audited against the anchored rubric. This page reads them from the data release rather than generating them at request time. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 36 puts Medical Dosimetrists in the third quartile of analyzed occupations. In practice, exposure this high is about the mix: 1 of 19 analyzed tasks lean automatable, 9 augmentable, and 9 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

$147,470median wage
3,410employed
200annual openings
+2.1%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Turn your actual week into a plan

Know which work to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days. Your $9 plan includes a confidence-rated personal score, task matrix, human moat, and only genuinely lower-exposure adjacent roles.

Build my 7/30/90-day action plan — $9

Related roles

Adjacent by skills or family — no exposure claim implied.

How this score was calculated

The score is the plain average of the AI-exposure values of this role’s 19 analyzed tasks (equal task weights in this release — no hidden factors):

Automatable 1 task, averaging 72/100 exposure
Augmentable 9 tasks, averaging 42/100 exposure
Durable 9 tasks, averaging 25/100 exposure

score = (1×72 + 9×42 + 9×25) ÷ 19 ≈ 36

Every task’s exposure value was scored against a published anchored rubric that scores tasks as actually performed — physical, in-person, and accountability requirements included (data release 2026.07.12-r2). The band (High) is a corpus quartile; the percentile is tie-aware across all 968 occupations.

FAQ — Medical Dosimetrists

Will AI replace Medical Dosimetrists?: This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.
What does a score of 36 mean for a Medical Dosimetrists?: It means that, weighted across the 19 tasks we analyzed for this role, the task mix sits at 36 on a 0–100 exposure scale — in the third quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
Which tasks in this role are most exposed to AI?: The highest-exposure tasks are: Record patient information, such as radiation doses administered, in patient records. Exposure comes from the published, rubric-scored data release rather than being generated when you open this page.
Which parts of this job are most durable?: The most durable responsibilities are: Fabricate patient immobilization devices, such as molds or casts, for radiation delivery; Fabricate beam modifying devices, such as compensators, shields, and wedge filters; Measure the amount of radioactivity in patients or equipment, using radiation monitoring devices. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.
Is this score personalized to me?: No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.

Score version jr-v1 · data release 2026.07.12-r2 · updated 2026-07-13 · baseline mapping: 19 of 19 tasks carry source-level provenance · methodology