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AI Automation Index
Task-level automation exposure for Geneticists: 24 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
24 of 24 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
55,850 people hold this job — size, not growth
Projected 2025–35
4,300 openings a year · BLS line item
BLS OEWS publishes 52 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$63,290 – $121,680
Highest medians
Lowest medians
State figures come from the 19-1029 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
24 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
7 tasks
15 tasks
2 tasks
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Supervise or direct the work of other geneticists, biologists, technicians, or biometricians working on genetics research projects.
interpersonal — Technical supervision requires judgment and accountability
Plan or conduct basic genomic and biological research related to areas such as regulation of gene expression, protein interactions, metabolic networks, and nucleic acid or protein complexes.
decision support — Research planning needs domain expertise and feasibility
Prepare results of experimental findings for presentation at professional conferences or in scientific journals.
text generation — Reports drafted; presentations need human delivery
Maintain laboratory notebooks that record research methods, procedures, and results.
data analysis — Record research or operational data into schemas
Write grants and papers or attend fundraising events to seek research funds.
text generation — Draft proposal and grant documents for review
Search scientific literature to select and modify methods and procedures most appropriate for genetic research goals.
information retrieval — AI can search and summarize literature, human curates
Review, approve, or interpret genetic laboratory results.
data analysis — Interprets data; domain expert validates meaning
Attend clinical and research conferences and read scientific literature to keep abreast of technological advances and current genetic research findings.
information retrieval — AI can search and summarize literature, human curates
Evaluate genetic data by performing appropriate mathematical or statistical calculations and analyses.
data analysis — Bioinformatics aided; wet-lab work human
Analyze determinants responsible for specific inherited traits, and devise methods for altering traits or producing new traits.
data analysis — Bioinformatics aided; wet-lab work human
Extract deoxyribonucleic acid (DNA) or perform diagnostic tests involving processes such as gel electrophoresis, Southern blot analysis, and polymerase chain reaction analysis.
physical manipulation — Biological sample analysis needs wet-lab execution
Collaborate with biologists and other professionals to conduct appropriate genetic and biochemical analyses.
interpersonal — Research collaboration is iterative human teamwork
Instruct medical students, graduate students, or others in methods or procedures for diagnosis and management of genetic disorders.
text generation — Science instruction content AI-assisted; delivery human
Create or use statistical models for the analysis of genetic data.
data analysis — Bioinformatics aided; wet-lab work human
Maintain laboratory safety programs and train personnel in laboratory safety techniques.
interpersonal — Technical procedure training needs live demonstration and correction
Verify that cytogenetic, molecular genetic, and related equipment and instrumentation is maintained in working condition to ensure accuracy and quality of experimental results.
visual inspection — Hands-on verification of equipment functioning
Develop protocols to improve existing genetic techniques or to incorporate new diagnostic procedures.
decision support — AI drafts care standards; clinical authority decides
Confer with information technology specialists to develop computer applications for genetic data analysis.
text generation — Scientific code drafted; domain validation by humans
Design sampling plans or coordinate the field collection of samples such as tissue specimens.
data analysis — Bioinformatics aided; wet-lab work human
Evaluate, diagnose, or treat genetic diseases.
data analysis — Literature and data aided; lab work human
Conduct family medical studies to evaluate the genetic basis for traits or diseases.
data analysis — Bioinformatics aided; wet-lab work human
Design and maintain genetics computer databases.
text generation — Technical DB design drafted; domain validation human
Participate in the development of endangered species breeding programs or species survival plans.
decision support — Conservation plans need field data and stakeholder judgment
Plan curatorial programs for species collections that include acquisition, distribution, maintenance, or regeneration.
decision support — Conservation plans need field data and stakeholder judgment
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<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
Do you agree with the AI automation risk score calculated for this occupation?
Method
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
See the full method →Related Article
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