Automation index
How much of a Virologist’s job can AI already do?
A PCR comes earlier. Isolating the virus without contaminating the lab do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Virologist
22%
AI can already do 22% of this job.
#400 / 633
View rankingVirologist
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 |
|---|---|---|---|
PCR, cultures and the report.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Isolate, biosafety and the one that breaks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Outbreak, sequence and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Public health, the note and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The clinician, the antiviral and not jumping.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Isolate, and not contaminating.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- virus PCR
- cultures
- biosafety
- sequence outbreaks
- isolate virus
- public-health notes
- antivirals
- P3 lab
Sources for this job· O*NET 19-1022.00· ESCO/ISCO 2131
IS WORK OVER?
Data architect
28%
#83 / 633
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