Healthcare · Updated Aug 2026

Cytogenetic Technologists

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.

JVS 2.0.0-phase4b
AI Exposure
64/100
High

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
54/100
Moderate

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

Evidence quality
Confidence83/100
Task coverage85%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Count numbers of chromosomes and identify the structural abnormalities by viewing culture slides through microscopes, light microscopes, or photomicroscopes.High
68
Arrange and attach chromosomes in numbered pairs on karyotype charts, using standard genetics laboratory practices and nomenclature, to identify normal or abnormal chromosomes.High
68
Analyze chromosomes found in biological specimens to aid diagnoses and treatments for genetic diseases such as congenital disabilities, fertility problems, and hematological disorders.High
65
Summarize test results and report to appropriate authorities.High
69
Input details of specimen processing, analysis, and technical issues into logs or laboratory information systems (LIS).High
66
Recognize and report abnormalities in the color, size, shape, composition, or pattern of cells.High
68
Describe chromosome, FISH and aCGH analysis results in International System of Cytogenetic Nomenclature (ISCN) language.High
66
Prepare biological specimens such as amniotic fluids, bone marrow, tumors, chorionic villi, and blood, for chromosome examinations.High
68
Apply prepared specimen and control to appropriate grid, run instrumentation, and produce analyzable results.High
68
Evaluate appropriateness of received specimens for requested tests.High
68
Select or prepare specimens and media for cell cultures using aseptic techniques, knowledge of medium components, or cell nutritional requirements.High
68
Communicate test results or technical information to patients, physicians, family members, or researchers.High
68
Select appropriate culturing system or procedure based on specimen type and reason for referral.High
66
Extract, measure, dilute as appropriate, label, and prepare DNA for array analysis.High
67
Harvest cell cultures using substances such as mitotic arrestants, cell releasing agents, and cell fixatives.High
68
Prepare slides of cell cultures following standard procedures.High
69
Select appropriate methods of preparation and storage of media to maintain potential of hydrogen (pH), sterility, or ability to support growth.High
68
Maintain laboratory equipment such as photomicroscopes, inverted microscopes, and standard darkroom equipment.High
66
Select banding methods to permit identification of chromosome pairs.High
69
Communicate to responsible parties unacceptable specimens and suggest remediation for future submissions.High
68
Develop, implement, and monitor quality control and quality assurance programs to ensure accurate and precise test performance and reports.High
54
Determine optimal time sequences and methods for manual or robotic cell harvests.High
67
Examine chromosomes found in biological specimens to detect abnormalities.High
27
Archive case documentation and study materials as required by regulations and laws.Medium
68
Identify appropriate methods of specimen collection, preservation, or transport.High
23
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Summarize test results and report to appropriate authorities.69
  2. Prepare slides of cell cultures following standard procedures.69
  3. Select banding methods to permit identification of chromosome pairs.69
  4. Count numbers of chromosomes and identify the structural abnormalities by viewing culture slides through microscopes, light microscopes, or photomicroscopes.68
Hardest to automate

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.

  1. Identify appropriate methods of specimen collection, preservation, or transport.01
  2. Examine chromosomes found in biological specimens to detect abnormalities.02
  3. Count numbers of chromosomes and identify the structural abnormalities by viewing culture slides through microscopes, light microscopes, or photomicroscopes.03
  4. Arrange and attach chromosomes in numbered pairs on karyotype charts, using standard genetics laboratory practices and nomenclature, to identify normal or abnormal chromosomes.04
  5. Analyze chromosomes found in biological specimens to aid diagnoses and treatments for genetic diseases such as congenital disabilities, fertility problems, and hematological disorders.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

See all rankings →
Beyond AI capability

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.

Human dependency54
Physical dependency43
Adoption pressure65
Labour-market resilience54
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence83/100
CalculatedAug 21, 2026
Read methodology →