O*NET-SOC কোড
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.

পেশার নাম ও কাজের বিবরণ প্রকাশিত রূপে ইংরেজিতে দেখানো হয়। লেবেল, কাজের ধরনসহ, অনূদিত।

AI এক্সপোজার

  • ডেটার উৎস: ILOপ্রকাশকাল: 2025

    0.31

    0.09এখানে থাকা মানগুলোর পরিসর0.70

    পেশা-গোষ্ঠী পর্যায়ের মান

    স্কেল, ভিত্তি ও উৎস

    জেনারেটিভ AI এক্সপোজার সূচক, প্রকাশিত রূপে 0–1

    ISCO-08 ইউনিট গ্রুপ স্তরে প্রকাশিত মান। মার্কিন শ্রম পরিসংখ্যান ব্যুরো (BLS)-এর সরকারি ক্রসওয়াক (ISCO-08 থেকে 2010 SOC, 2010 SOC থেকে 2018 SOC) প্রকাশিত রূপেই প্রয়োগ করে এই পেশার সঙ্গে যুক্ত করা হয়েছে; মিল সম্পূর্ণ বা আংশিক

    উৎস ডেটাসেট (PDF ফাইল ডাউনলোড)

  • ডেটার উৎস: OpenAIপ্রকাশকাল: 2023

    0.336

    0.000এখানে থাকা মানগুলোর পরিসর0.844
    স্কেল, ভিত্তি ও উৎস

    মানব মূল্যায়নকারীর β, প্রকাশিত রূপে 0–1

    O*NET টাস্কে ম্যাপ করা

    উৎস ডেটাসেট (CSV ফাইল ডাউনলোড)

AI এক্সপোজার (OpenAI রুব্রিক)

30 মূল্যায়িত কার্য · β ≥ 0.5 থাকা 19 কার্য (63.3%)

β = সরাসরি এক্সপোজার (E1) + 0.5 × সরঞ্জাম উপলব্ধ থাকলে এক্সপোজার (E2), উৎস রিপোজিটরির সংজ্ঞা অনুসারে।

  • উৎস একক: O*NET 27.2-এর কাজ → O*NET 31.0-এর পেশা কোড
  • মূল্যায়িত সব কাজ O*NET 31.0-এর কাজের তালিকায় আছে।
উৎস
OpenAI "GPTs are GPTs" exposure rubric
সংস্করণ
gh-main-0471612
লাইসেন্স
MIT License, Copyright (c) 2024 OpenAI

কাজ

O*NET® 31.0 Database-এর কাজের বিবরণ, মূল কাজগুলো আগে।

কাজধরনβ (OpenAI)
Develop and implement training programs for trainees, medical students, resident physicians or post-doctoral fellows.মূল০.৫
Stain slides to make chromosomes visible for microscopy.মূল০
Summarize test results and report to appropriate authorities.মূল১
Select or prepare specimens and media for cell cultures using aseptic techniques, knowledge of medium components, or cell nutritional requirements.মূল০
Select banding methods to permit identification of chromosome pairs.মূল০.৫
Identify appropriate methods of specimen collection, preservation, or transport.মূল০
Prepare slides of cell cultures following standard procedures.মূল০
Select appropriate methods of preparation and storage of media to maintain potential of hydrogen (pH), sterility, or ability to support growth.মূল০
Harvest cell cultures using substances such as mitotic arrestants, cell releasing agents, and cell fixatives.মূল০
Create chromosome images using computer imaging systems.মূল০.৫
Determine optimal time sequences and methods for manual or robotic cell harvests.মূল০.৫
Examine chromosomes found in biological specimens to detect abnormalities.মূল০.৫
Prepare biological specimens such as amniotic fluids, bone marrow, tumors, chorionic villi, and blood, for chromosome examinations.মূল০
Count numbers of chromosomes and identify the structural abnormalities by viewing culture slides through microscopes, light microscopes, or photomicroscopes.মূল০.৫
Arrange and attach chromosomes in numbered pairs on karyotype charts, using standard genetics laboratory practices and nomenclature, to identify normal or abnormal chromosomes.মূল০.৫
Analyze chromosomes found in biological specimens to aid diagnoses and treatments for genetic diseases such as congenital disabilities, fertility problems, and hematological disorders.মূল০.৫
Input details of specimens into logs or computer systems.মূল১
Maintain laboratory equipment such as photomicroscopes, inverted microscopes, and standard darkroom equipment.মূল০
Supervise subordinate laboratory staff.মূল০
Select appropriate culturing system or procedure based on specimen type and reason for referral.মূল০.৫
Describe chromosome, FISH and aCGH analysis results in International System of Cytogenetic Nomenclature (ISCN) language.মূল১
Extract, measure, dilute as appropriate, label, and prepare DNA for array analysis.মূল০
Input details of specimen processing, analysis, and technical issues into logs or laboratory information systems (LIS).মূল১
Apply prepared specimen and control to appropriate grid, run instrumentation, and produce analyzable results.মূল০.৫
Develop, implement, and monitor quality control and quality assurance programs to ensure accurate and precise test performance and reports.মূল০.৫
Evaluate appropriateness of received specimens for requested tests.মূল০
Communicate to responsible parties unacceptable specimens and suggest remediation for future submissions.মূল১
Archive case documentation and study materials as required by regulations and laws.মূল১
Recognize and report abnormalities in the color, size, shape, composition, or pattern of cells.সম্পূরক০.৫
Communicate test results or technical information to patients, physicians, family members, or researchers.সম্পূরক০.৫

পেশাগত তথ্য

উৎস ও স্বীকৃতি

This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.

Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.

O*NET OnLine: 29-2011.01 Cytogenetic Technologists

KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.

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