Cuatro bandas relativas (Bajo / Moderado / Alto / Muy alto)
831 ocupaciones detalladas de la tabla de proyecciones de empleo de BLS. El valor se asigna por código de la National Employment Matrix (NEM), de modo que las ocupaciones que comparten un código NEM reciben la misma banda
Índice de exposición a la IA generativa, 0–1 tal como se publica
Grupo primario de la CIUO-08 — todas las ocupaciones con ese código reciben este valor
Calculado por este sitio, no publicado por la OIT: de las 1012 ocupaciones que este sitio vincula al conjunto de datos de la OIT, un 7% alcanza o supera este valor.
La categoría de BLS es un rango relativo, no un nivel absoluto, y tampoco es una medición de primera mano: agrupa en cuatro bandas los rangos percentiles de la ocupación en varios estudios publicados. No es una previsión de empleo ni de salarios, no es una probabilidad de adopción y no distingue entre automatización y aumento.
Participate in the preparation of reports or scientific publications.Details
15-2099
0.120032.4
0.01009.1
Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve.Details
15-2099
0.100027.0
—0
Conduct quality analyses of data inputs and resulting analyses or predictions.Details
15-2099
0.080021.6
—0
Perform routine system administrative functions, such as troubleshooting, back-ups, or upgrades.Details
15-2099
0.03008.1
0.070063.6
Write computer programs or scripts to be used in querying databases.Details
15-2099
0.03008.1
0.020018.2
Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.Details
15-2099
0.01002.7
—0
Enter or retrieve information from structural databases, protein sequence motif databases, mutation databases, genomic databases or gene expression databases.Details
15-2099
0.00000.0
0.01009.1
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
Task
βE1 + 0.5 × E2
Develop or maintain applications that process biologically based data into searchable databases for purposes of analysis, calculation, or presentation.Details
O*NET Task ID 17706
1.0
Monitor database performance and perform any necessary maintenance, upgrades, or repairs.Details
O*NET Task ID 17708
1.0
Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.Details
O*NET Task ID 17709
1.0
Create data management or error-checking procedures and user manuals.Details
O*NET Task ID 17711
1.0
Design or implement web-based tools for querying large-scale biological databases.Details
O*NET Task ID 17712
1.0
Develop or apply data mining and machine learning algorithms.Details
O*NET Task ID 17713
1.0
Document all database changes, modifications, or problems.Details
O*NET Task ID 17714
1.0
Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve.Details
O*NET Task ID 17715
1.0
Participate in the preparation of reports or scientific publications.Details
O*NET Task ID 17717
1.0
Test new or updated software or tools and provide feedback to developers.Details
O*NET Task ID 17718
1.0
Train bioinformatics staff or researchers in the use of databases.Details
O*NET Task ID 17719
1.0
Write computer programs or scripts to be used in querying databases.Details
O*NET Task ID 17720
1.0
Conduct quality analyses of data inputs and resulting analyses or predictions.Details
O*NET Task ID 17721
1.0
Package bioinformatics data for submission to public repositories.Details
O*NET Task ID 17723
1.0
Perform routine system administrative functions, such as troubleshooting, back-ups, or upgrades.Details
O*NET Task ID 17724
1.0
Enter or retrieve information from structural databases, protein sequence motif databases, mutation databases, genomic databases or gene expression databases.Details
O*NET Task ID 17707
0.5
Confer with researchers, clinicians, or information technology staff to determine data needs and programming requirements and to provide assistance with database-related research activities.Details
O*NET Task ID 17710
0.5
Maintain awareness of new and emerging computational methods and technologies.Details
O*NET Task ID 17716
0.5
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Información ocupacional
Descripción ocupacional de la OIT
Statistical, Mathematical and Related Associate Professionals
Profesionales de nivel medio de servicios estadísticos, matemáticos y afines
Statistical, mathematical and related associate professionals assist in planning the collection, processing and presentation of statistical, mathematical or actuarial data and in carrying out these operations, usually working under the guidance of statisticians, mathematicians and actuaries.
Tareas
(a) assisting in planning and performing statistical, mathematical, actuarial and related calculations;
(b) preparing detailed estimates of quantities and costs of materials and labour required for statistical census and survey operations;
(c) performing technical tasks connected with establishing, maintaining and using registers and sampling frames for census and survey operations;
(d) performing technical tasks connected with data collection and quality control operations in censuses and surveys;
(e) using standard computer software packages to perform mathematical, actuarial, statistical, accounting and related calculations;
(f) preparing statistical, mathematical, actuarial, accounting and other results for presentation in graphical or tabular form;
(g) applying knowledge of statistical, mathematical, actuarial, accounting and related principles and practices in order to identify and solve problems arising in the course of their work;
Los asistentes de actuario realizan investigaciones en materia de datos estadísticos con el fin de fijar los tipos de las primas y las pólizas de seguro. Revisan la posibilidad de accidentes, lesiones y daños materiales mediante el uso de fórmulas y modelos estadísticos.
Los asistentes estadísticos recopilan datos y utilizan fórmulas estadísticas para realizar estudios estadísticos y elaborar informes. Elaboran tablas, gráficos y encuestas.
Fuente:European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)
ESCO reuse terms and the modification notice are in Credits.
Shown in the original Korean. This dataset is published under KOGL Type 4, which prohibits derivative works including translation, so the text is reproduced unaltered.
The KNOW occupations and KECO codes listed here were linked to this page's occupation by this site; this is not a correspondence defined by the Korea Employment Information Service or the Ministry of Employment and Labor.
Projected change: +7.1%
Median wage: $81K
lowest $31Kmedian wage across 825 detailed occupations, BLS EP 2025–35highest $559K
