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Cytogenetic Technologists

US evidence · AI already used for 0 of 10 main tasks · Check another job

Analyze chromosomes or chromosome segments found in biological specimens, such as amniotic fluids, bone marrow, solid tumors, and blood to aid in the study, diagnosis, classification, or treatment of inherited or acquired genetic diseases. Conduct analyses through classical cytogenetic, fluorescent in situ hybridization (FISH) or array comparative genome hybridization (aCGH) techniques.

10 main tasks · most important first

Your main tasks and AI

Importance
  1. 01Arrange and attach chromosomes in numbered pairs on karyotype charts, using standard genetics laboratory practices and nomenclature, to identify normal or abnormal chromosomes.AI could speed this up, with extra tools
  2. 02Analyze chromosomes found in biological specimens to aid diagnoses and treatments for genetic diseases such as congenital disabilities, fertility problems, and hematological disorders.AI could speed this up, with extra tools
  3. 03Prepare biological specimens such as amniotic fluids, bone marrow, tumors, chorionic villi, and blood, for chromosome examinations.Mostly human for now
  4. 04Harvest cell cultures using substances such as mitotic arrestants, cell releasing agents, and cell fixatives.Mostly human for now
  5. 05Examine chromosomes found in biological specimens to detect abnormalities.AI could speed this up, with extra tools
  6. 06Prepare slides of cell cultures following standard procedures.Mostly human for now
  7. 07Input details of specimen processing, analysis, and technical issues into logs or laboratory information systems (LIS).AI could speed this up a lot
  8. 08Apply prepared specimen and control to appropriate grid, run instrumentation, and produce analyzable results.AI could speed this up, with extra tools
  9. 09Evaluate appropriateness of received specimens for requested tests.Mostly human for now
  10. 10Summarize test results and report to appropriate authorities.AI could speed this up a lot

Tasks from O*NET® 31.0 (US Department of Labor, CC BY 4.0, changed by us), most important first. “Already use” comes from Anthropic’s data on real work chats with Claude; “could speed up” from task ratings made with GPT-4 in 2023.

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Checked O*NET 31.0, August 2026Corrections