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 / 623
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?
Data architect
28%
#83 / 623
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511