Automation index
How much of a Geneticist’s job can AI already do?
A panel comes earlier. Reading the variant and talking to the family do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Geneticist
27%
AI can already do 27% of this job.
#154 / 623
View rankingGeneticist
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 |
|---|---|---|---|
Panel, variants and the report.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Clinic, the pedigree and the family.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
VUS, the doubt and not scaring extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Lab, the sample and the one that is not enough.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The clinician, the treatment and not jumping to a yes.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Read it, and talking to the family.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- genetic panels
- variants
- pedigree
- VUS
- genetic reports
- samples
- genetics clinic
- not scare
Sources for this job· O*NET 19-1029.00· 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