Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 29-2011.01
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.
Also called: Clinical Cytogeneticist Scientist (CCS) · Cytogenetic Technologist · Cytogenetics Clinical Laboratory Specialist (CG CLSp) · Molecular Genetics Technologist · Certified Cytogenetic Technologist · Cytogenetics Technical Specialist · Cytogenetics Technologist · Cytogenetic Technician · Cytologist · Cytotechnician · Flow Cytometry Specialist · Flow Cytometry Technologist
Job family: Healthcare Practitioners and Technical Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-29-2011-01/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Moderate | 56th | 0.3 | |
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 53rd | 0.6 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.4), and including AI-powered software (γ 0.6). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Mixed signals. Today's AI/LLM studies show relatively low exposure for this job, but the older (2013) Frey–Osborne work rated it higher for computerization and robotics. Different eras, different technologies — the AI measures above reflect the current state.
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.9 · 78th percentile among occupations · High
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Communicate test results or technical information to patients, physicians, family members, or researchers. | 2.0% | |
| Summarize test results and report to appropriate authorities. | 0.3% |
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Medical and Pathology Laboratory Technicians · 3212 | 31% | Minimal |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Biology | 4.2 | |
| Chemistry | 3.6 | |
| English Language | 3.2 | |
| Computers and Electronics | 3.1 | |
| Mathematics | 3.0 |
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Information Ordering | 4.0 | |
| Near Vision | 4.0 | |
| Oral Expression | 3.9 | |
| Deductive Reasoning | 3.9 | |
| Inductive Reasoning | 3.9 | |
| Written Expression | 3.8 | |
| Problem Sensitivity | 3.8 | |
| Category Flexibility | 3.6 | |
| Flexibility of Closure | 3.5 | |
| Selective Attention | 3.3 | |
| Perceptual Speed | 3.1 | |
| Visual Color Discrimination | 3.1 | |
| Speech Recognition | 3.1 | |
| Speech Clarity | 3.1 | |
| Fluency of Ideas | 3.0 | |
| Mathematical Reasoning | 3.0 | |
| Number Facility | 3.0 | |
| Arm-Hand Steadiness | 3.0 |
| Reading Comprehension | 3.9 | |
| Critical Thinking | 3.9 | |
| Writing | 3.8 | |
| Active Listening | 3.6 | |
| Speaking | 3.6 | |
| Science | 3.3 | |
| Active Learning | 3.3 | |
| Monitoring | 3.1 | |
| Mathematics | 3.0 |
| Judgment and Decision Making | 3.5 | |
| Complex Problem Solving | 3.4 | |
| Time Management | 3.1 | |
| Social Perceptiveness | 3.0 | |
| Coordination | 3.0 | |
| Systems Analysis | 3.0 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Biological and Biomedical Sciences , Health Professions and Related Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Bachelor's Degree | 76.2% | |
| Post-Baccalaureate Certificate | 23.8% |
The interests and personal qualities O*NET associates with people who do this work.
| Life Science | 6.5 | |
| Medical Science | 6.3 | |
| Health Care Service | 4.3 | |
| Physical Science | 3.0 | |
| Mathematics/Statistics | 3.0 | |
| Information Technology | 2.1 |
| Dependability | 6.0 | |
| Attention to Detail | 5.0 | |
| Integrity | 4.0 | |
| Cautiousness | 3.0 | |
| Intellectual Curiosity | 2.2 | |
| Achievement Orientation | 2.1 |
| Investigative | 5.9 | |
| Realistic | 5.3 | |
| Conventional | 5.0 |
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Cytogenetic Technologists — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 58th percentile of 427 international occupations.
Cytogenetic Technologists sit at the 53rd percentile of AI task overlap among U.S. occupations
Cytogenetic Technologists sit at the 53rd percentile of AI task overlap among U.S. occupations • Cytogenetic Technologists rank in the 53rd percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) Source: Singulariki — "Cytogenetic Technologists". https://singulariki.com/roles/role-29-2011-01 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Cytogenetic Technologists." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-29-2011-01
Singulariki. (2026). Cytogenetic Technologists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-2011-01
@misc{singulariki-role-29-2011-01,
title = {Cytogenetic Technologists},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-29-2011-01}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.