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Cytogenetic Technologists

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

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-29-2011-01/context.md directly.

AI work map

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.

AI & job outlook

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.

Exposure to current AI

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.

Historical automation estimate (2013)

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

How AI is actually used in this job

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%

Where this work sits on the global GenAI gradient

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.

31% mean task exposure (2025)
58th percentile of 427 placed occupations
+1 pts shift 2023 → 2025
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.

Tasks

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.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Biology 4.2
Chemistry 3.6
English Language 3.2
Computers and Electronics 3.1
Mathematics 3.0

Abilities

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

Essential skills

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

Transferable skills

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 in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Adobe Illustrator Graphics or photo imaging software Hot technology
C++ Object or component oriented development software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
Python Object or component oriented development software Hot technology
Cell Bioscience Automated Image Capture Analytical or scientific software
Digital karyotyping software Analytical or scientific software
Genetix CytoVision Analytical or scientific software
Genial Genetics iPassport QMS Data base user interface and query software
Genial Genetics Shire Data base user interface and query software
Geniel Genetics iGene Analytical or scientific software
Image analysis software Analytical or scientific software
Image capture software Analytical or scientific software
KARIO Analytical or scientific software
Lucia CGH Analytical or scientific software
Lucia Comet Assay Analytical or scientific software
Lucia FISH Analytical or scientific software
Lucia Karyo Analytical or scientific software
Lucia Metaphase Finder Analytical or scientific software
LUCIA MFISH Analytical or scientific software
MetaSystems Isis Color Karyotyping Analytical or scientific software

Work context

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.

Indoors, Environmentally Controlled 5.0
Importance of Being Exact or Accurate 4.9
Face-to-Face Discussions with Individuals and Within Teams 4.9
Time Pressure 4.8
Frequency of Decision Making 4.8
Importance of Repeating Same Tasks 4.7
E-Mail 4.7
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.7
Impact of Decisions on Co-workers or Company Results 4.5
Spend Time Making Repetitive Motions 4.3
Consequence of Error 4.2
Exposed to Hazardous Conditions 4.1
Spend Time Sitting 4.1
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.0
Work With or Contribute to a Work Group or Team 4.0
Telephone Conversations 3.9
Exposed to Disease or Infections 3.9
Freedom to Make Decisions 3.7
Health and Safety of Other Workers 3.5
Physical Proximity 3.5
Determine Tasks, Priorities and Goals 3.5
Contact With Others 3.4
Exposed to Contaminants 3.1
Work Outcomes and Results of Other Workers 2.9
Coordinate or Lead Others in Accomplishing Work Activities 2.8
Written Letters and Memos 2.8
Degree of Automation 2.7
Level of Competition 2.7
Conflict Situations 2.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 2.3
Dealing With Unpleasant, Angry, or Discourteous People 2.1
Deal With External Customers or the Public in General 2.1
Spend Time Standing 2.0
Spend Time Bending or Twisting Your Body 2.0
Pace Determined by Speed of Equipment 1.9
Spend Time Walking or Running 1.8
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 1.7
Public Speaking 1.6
Exposed to Minor Burns, Cuts, Bites, or Stings 1.6
Exposed to Extremely Bright or Inadequate Lighting Conditions 1.5

How to get in

Job zone
Zone 4 — Job Zone Four: Considerable Preparation Needed
Education
Most of these occupations require a four-year bachelor's degree, but some do not.
Related experience
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Preparation level
SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.

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.

Education of current workers

Share of people in this occupation at each level of education.

Bachelor's Degree 76.2%
Post-Baccalaureate Certificate 23.8%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Interest areas

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

Work styles

Dependability 6.0
Attention to Detail 5.0
Integrity 4.0
Cautiousness 3.0
Intellectual Curiosity 2.2
Achievement Orientation 2.1

Career interests (Holland / RIASEC)

Investigative 5.9
Realistic 5.3
Conventional 5.0
Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical) for 6 occupations adjacent to Cytogenetic Technologists. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Neurodiagnostic Technologists Nuclear Medicine Technologists Biological Technicians Microbiologists Bioengineers and Biomedical Engineers AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Cytogenetic Technologists — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 58th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

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
Copy the whole kit
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.

Sources for this page

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.

Cite this page
Plain

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

APA

Singulariki. (2026). Cytogenetic Technologists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-2011-01

BibTeX
@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.

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