Bioengineers and Biomedical Engineers

Architecture and Engineering Occupations
Code O*NET-SOC
17-2031.00

Apply knowledge of engineering, biology, chemistry, computer science, and biomechanical principles to the design, development, and evaluation of biological, agricultural, and health systems and products, such as artificial organs, prostheses, instrumentation, medical information systems, and health management and care delivery systems.

Les intitulés des métiers et les énoncés de tâches sont affichés en anglais, tels que publiés. Les libellés, y compris les types de tâches, sont traduits.

Exposition à l'IA

  • Source des données: BLSPublié: 2026-08

    Très élevée· relative

    FaibleQuatre bandes relativesTrès élevée

    Valeur par groupe professionnel

    Échelle, base et source

    Quatre bandes relatives (Faible / Modérée / Élevée / Très élevée)

    831 métiers détaillés du tableau des projections d'emploi du BLS. La valeur est attribuée par code de la National Employment Matrix (NEM), si bien que les métiers partageant un code NEM reçoivent la même bande

    Jeu de données source (téléchargement XLSX)

  • Source des données: AnthropicPublié: 2026-03

    0.133

    0.000Étendue des valeurs présentées ici0.745
    Échelle, base et source

    Indice d'exposition observée, 0–1 tel que publié

    Rapporté aux tâches O*NET

    Publié par profession SOC 2018 ; chaque profession O*NET ayant le même code SOC 2018 reçoit cette valeur

    Jeu de données source (téléchargement CSV)

  • Source des données: ILOPublié: 2025

    0.30

    0.09Étendue des valeurs présentées ici0.70

    Valeur par groupe professionnel

    Échelle, base et source

    Indice d'exposition à l'IA générative, 0–1 tel que publié

    Publié par groupe de base ISCO-08. Relié à ce métier, en tout ou en partie, en appliquant tels que publiés les tableaux de correspondance du U.S. Bureau of Labor Statistics (ISCO-08 vers SOC 2010, SOC 2010 vers SOC 2018)

    Jeu de données source (téléchargement PDF)

Quelle est la nature de la valeur publiée par cette source

La catégorie BLS est un rang relatif et non un niveau absolu, et ce n'est pas une mesure de première main : elle regroupe en quatre bandes les rangs centiles du métier dans plusieurs études publiées. Ce n'est ni une prévision d'emploi ou de salaire, ni une probabilité d'adoption, et elle ne distingue pas automatisation et augmentation.

Exposition à l’IA (grille d’OpenAI)

30 tâches évaluées · 29 tâches avec β ≥ 0,5 (96.7%)

β = exposition directe (E1) + 0,5 × exposition lorsque des outils sont disponibles (E2), selon la définition du dépôt source.

  • Unité source : tâches O*NET 27.2 → code de métier O*NET 31.0
  • Toutes les tâches notées figurent dans la liste des tâches O*NET 31.0.
Source
OpenAI "GPTs are GPTs" exposure rubric
Version
gh-main-0471612
Licence
MIT License, Copyright (c) 2024 OpenAI

Tâches

Énoncés de tâches de l’O*NET® 31.0 Database, les tâches principales d’abord.

TâcheTypeβ (OpenAI)
Evaluate the safety, efficiency, and effectiveness of biomedical equipment.Principale0,5
Advise hospital administrators on the planning, acquisition, and use of medical equipment.Principale0,5
Research new materials to be used for products, such as implanted artificial organs.Principale0,5
Develop models or computer simulations of human biobehavioral systems to obtain data for measuring or controlling life processes.Principale0,5
Conduct research, along with life scientists, chemists, and medical scientists, on the engineering aspects of the biological systems of humans and animals.Principale0,5
Adapt or design computer hardware or software for medical science uses.Principale1
Conduct training or in-services to educate clinicians and other personnel on proper use of equipment.Principale0
Write documents describing protocols, policies, standards for use, maintenance, and repair of medical equipment.Principale1
Collaborate with manufacturing or quality assurance staff to prepare product specification or safety sheets, standard operating procedures, user manuals, or qualification and validation reports.Principale1
Communicate with bioregulatory authorities regarding licensing or compliance responsibilities.Principale0,5
Communicate with suppliers regarding the design or specifications of bioproduction equipment, instrumentation, or materials.Principale0,5
Confer with research and biomanufacturing personnel to ensure the compatibility of design and production.Principale0,5
Consult with chemists or biologists to develop or evaluate novel technologies.Principale0,5
Design or conduct follow-up experimentation, based on generated data, to meet established process objectives.Principale0,5
Design or develop medical diagnostic or clinical instrumentation, equipment, or procedures, using the principles of engineering and biobehavioral sciences.Principale1
Develop methodologies for transferring procedures or biological processes from laboratories to commercial-scale manufacturing production.Principale0,5
Develop statistical models or simulations, using statistical or modeling software.Principale1
Maintain databases of experiment characteristics or results.Principale1
Manage teams of engineers by creating schedules, tracking inventory, creating or using budgets, or overseeing contract obligations or deadlines.Principale0,5
Prepare project plans for equipment or facility improvements, including time lines, budgetary estimates, or capital spending requests.Principale0,5
Prepare technical reports, data summary documents, or research articles for scientific publication, regulatory submissions, or patent applications.Principale1
Read current scientific or trade literature to stay abreast of scientific, industrial, or technological advances.Principale0,5
Recommend process formulas, instrumentation, or equipment specifications, based on results of bench or pilot experimentation.Principale0,5
Analyze new medical procedures to forecast likely outcomes.Complémentaire0,5
Advise manufacturing staff regarding problems with fermentation, filtration, or other bioproduction processes.Complémentaire0,5
Design and deliver technology, such as prosthetic devices, to assist people with disabilities.Complémentaire0,5
Design or direct bench or pilot production experiments to determine the scale of production methods that optimize product yield and minimize production costs.Complémentaire0,5
Develop bioremediation processes to reduce pollution, protect the environment, or treat waste products.Complémentaire0,5
Lead studies to examine or recommend changes in process sequences or operation protocols.Complémentaire0,5
Review existing manufacturing processes to identify opportunities for yield improvement or reduced process variation.Complémentaire0,5

Informations professionnelles

Sources et attribution

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: 17-2031.00 Bioengineers and Biomedical Engineers

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.

Attribution et licences complètes