Automation index
How much of a Biochemist’s job can AI already do?
A protocol and a curve come earlier. An assay that says what it says does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Biochemist
24%
AI can already do 24% of this job.
#259 / 633
View rankingBiochemist
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 |
|---|---|---|---|
Protocols, curves and analysis.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Bench, pipettes and assays.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Team, paper and not dressing a gel.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Quality, lots and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Rules, waste and safety.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not publishing a result that does not replicate.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Protocols, curves and analysis
- Bench, pipettes and assays
- Team, paper and not dressing a gel
- Quality, lots and documentation
- Rules, waste and safety
- bioquimico
- biochemist
Sources for this job· O*NET 19-1021.00· ESCO/ISCO 2131
IS WORK OVER?
Statistician
26%
#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