Healthcare · SOC 29-2011.01
AI assists with image analysis, but chromosome abnormality calls still demand expert human judgment.
Parts of the job are exposed, but judgment and context still matter.
Timeline: AI image analysis will handle routine karyotyping within 5 years, but complex structural variants and clinical consultations will remain human-led for at least a decade.
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$98,340 median pay
Healthcare
$97,020 median pay
$48,790 median pay
$300,000 median pay
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AI job-risk card
Cytogenetic Technologists is watch on AIFear. Parts of the job are exposed, but judgment and context still matter.
AIFear.com
Our AI Fear Score for Cytogenetic Technologists is 42/100 (Watch). Parts of the job are exposed, but judgment and context still matter.
42 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Logging specimen data into lab information systems, Generating standardized test result summaries, Flagging routine karyotype anomalies via image analysis, Quality control documentation and compliance tracking. Harder to automate: Interpreting rare or complex chromosomal abnormalities, Designing culture protocols for novel specimen types, Providing clinical consultation to physicians on ambiguous findings, Operating and troubleshooting specialized lab equipment.
Lean into Computational genomics, AI-assisted image interpretation, Laboratory quality management, Clinical data communication. Consider roles such as Molecular geneticist or Clinical laboratory manager or Genetic research scientist.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.