O*NET: Geneticists·19-1029.03
The Verdict:Genetics research combines physical lab procedures, computational analysis, and clinical diagnosis. AI accelerates data interpretation and literature synthesis, but experimental design, hands-on lab work, and patient evaluation require human expertise. Expanding applications in genomic medicine sustain demand, and AI tools enhance rather than displace the geneticist.
How much of this role's daily work remains beyond AI and robotic automation.
The degree to which this job needs a human present — hands-on, in the field, or in the room.
How important the unique human edge is — for trust, accountability, or judgment.
How strong the legal requirement is for a human in this job (by law, licensing, or credentials).
How far AI remains from performing this role's core functions.
The volume of jobs in this field being eliminated by AI or automation right now.
Median annual wage from the Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS), May 2024 release.
Projected change in total number of jobs (not salary) from 2024–2034. Source: Bureau of Labor Statistics Employment Projections.
Percentage of this role's analyzed tasks that AI can handle autonomously or nearly so. 2 of 24 tasks are classified as AI-exposed.
This role's core work is hard to automate.
12 of 24 tasks require human judgment, presence, or trust. The 42% that are AI-leverage offer an edge — professionals who learn these tools will outperform those who don't.
Tasks AI can do autonomously or nearly so
Master these tools — humans who do outperform those who don't
Tasks requiring trust, presence, or novel judgment
Geneticist lands in Stable & Well-Paid