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Life, Physical, and Social Science · United States (national)

Biochemists and Biophysicists

How exposed this work is to automation, shown as ranges with the reasoning and sources.

The short version: this role is moderately exposed to automation, and meaningful change looks likely over the next 5 to 10 years. It is a sourced range, not a verdict, and the detail is below.

Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown. Data snapshot SNAPSHOT-2026-11-06. How it works
44.3 of 100
AI / softwarerange 32.3 to 56.3
33.5 of 100
Physical / roboticsrange 21.5 to 45.5

When the change is likely

partial change 0y 5y 10y 15y 20+y

Partial, 5 to 10 years local demand stable

What to do about it

Use AI to outpace AI.

Strategies to protect your livelihood, most important first.

1
Use your 5 to 10 year runway
Change here is gradual. Build resilient skills steadily and watch the signals rather than waiting for a shock.
2
Pivot toward Microbiologists
It is skill-adjacent and less exposed (37.8 vs 44). A lateral move now beats a forced one later.
3
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
4
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.

Which of my tasks are exposed

Share research findings by writing scientific articles or by making presentations at scientific conferences.
50.0
Teach or advise undergraduate or graduate students or supervise their research.
100.0
Study physical principles of living cells or organisms and their electrical or mechanical energy, applying methods and knowledge of mathematics, physics, chemistry, or biology.
50.0
Manage laboratory teams or monitor the quality of a team's work.
100.0
Develop new methods to study the mechanisms of biological processes.
50.0
Write grant proposals to obtain funding for research.
50.0
Design or perform experiments with equipment, such as lasers, accelerators, or mass spectrometers.
100.0
Determine the three-dimensional structure of biological macromolecules.
50.0

Longer, orange bars are more automatable; short green bars are resistant.

What is driving my result

lowers risk
raises risk
Task: Teach or advise undergraduate or graduate students or supervise their research.
Task: Manage laboratory teams or monitor the quality of a team's work.

Lower-risk adjacent roles

Microbiologists
37.8
Chemists
40.0
Molecular and Cellular Biologists
43.9

A full, ranked mitigation plan is part of the paid tiers.

How this score is calculated

  1. Map Biochemists and Biophysicists to its standard O*NET task list (8 core tasks).
  2. Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
  3. The two axis scores are the task averages: AI 44.3, robotics 33.5.
  4. The timeline comes from the higher axis (44.3), shifted for local demand (stable), and seniority. It is read against your remaining working years.
  5. Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.

Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS. Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.

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