How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Prepare results of experimental findings for presentation at professional conferences or in scientific journals.81
- Collaborate with biologists and other professionals to conduct appropriate genetic and biochemical analyses.81
- Maintain laboratory safety programs and train personnel in laboratory safety techniques.81
- Extract deoxyribonucleic acid (DNA) or perform diagnostic tests involving processes such as gel electrophoresis, Southern blot analysis, and polymerase chain reaction analysis.80
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Design sampling plans or coordinate the field collection of samples such as tissue specimens.01
- Instruct medical students, graduate students, or others in methods or procedures for diagnosis and management of genetic disorders.02
- Supervise or direct the work of other geneticists, biologists, technicians, or biometricians working on genetics research projects.03
- Verify that cytogenetic, molecular genetic, and related equipment and instrumentation is maintained in working condition to ensure accuracy and quality of experimental results.04
- Maintain laboratory notebooks that record research methods, procedures, and results.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Molecular and Cellular Biologists
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Related work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
