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?
Prompt engineer
34%
#21 / 633
View rankingPrompt engineer
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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512