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.
- Follow strict safety procedures when handling toxic materials to avoid contamination.75
- Confer with health departments, industry personnel, physicians, and others to develop health safety standards and public health improvement programs.74
- Conduct research to develop methodologies, instrumentation, and procedures for medical application, analyzing data and presenting findings to the scientific audience and general public.73
- Consult with and advise physicians, educators, researchers, and others regarding medical applications of physics, biology, and chemistry.73
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.
- Evaluate effects of drugs, gases, pesticides, parasites, and microorganisms at various levels.01
- Plan and direct studies to investigate human or animal disease, preventive methods, and treatments for disease.02
- Standardize drug dosages, methods of immunization, and procedures for manufacture of drugs and medicinal compounds.03
- Prepare and analyze organ, tissue, and cell samples to identify toxicity, bacteria, or microorganisms or to study cell structure.04
- Investigate cause, progress, life cycle, or mode of transmission of diseases or parasites.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Geneticists
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Compare these careers →Medical and Clinical Laboratory Technologists
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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.
