IS WORK OVER?

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

Biochemist

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.

TaskShareAIPoints
Protocols, curves and analysis.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Bench, pipettes and assays.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Team, paper and not dressing a gel.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Quality, lots and documentation.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Rules, waste and safety.
Estimate

No public source provides a precise figure. This is our estimate.

16%16%+2.6
Not publishing a result that does not replicate.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%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

Station master

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.

TaskShareAIPoints
Graph, orders and the station log.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Incident, passengers and the PA.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%23%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

Analyse my job

Jobs with similar scores

  1. 256Community health worker24%
  2. 257Agile coach24%
  3. 258Software architect24%
  4. 260Parking attendant24%
  5. 261Probation officer24%
  6. 262Dentist24%