Automation index
How much of a Statistician’s job can AI already do?
A model and a chart come earlier. A sample that does not lie does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Statistician
26%
AI can already do 26% of this job.
#201 / 633
View rankingStatistician
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120
IS WORK OVER?
Radiation oncologist
23%
#311 / 633
View rankingRadiation oncologist
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Contouring, fractions and the dose plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Clinic, the tumour and what can be irradiated.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Simulation, immobilisation and the machine day.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Side effects, pauses and the patient who cannot take it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Board, the surgeon and the medical oncologist.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Signing the plan and the dose that does not erase.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- contouring
- plan radiotherapy
- dosimetry
- RT simulation
- fractions
- tumour board
- radiation effects
- immobilise the patient
Sources for this job· O*NET 29-1224.00· ESCO/ISCO 2212