Biostatisticians

Computer and Mathematical Occupations

O*NET-SOC 代码: 15-2041.01

Develop and apply biostatistical theory and methods to the study of life sciences.

数据来源: BLS发布时间: 2026-08
很高· 相对
低四级相对区间很高
职业群单位数值
尺度 · 母数 · 来源
四级相对类别（低 / 中等 / 高 / 很高）
以BLS就业预测表中831个细分职业为基数。取值按 NEM（全国就业矩阵）代码给定，因此共用同一 NEM 代码的职业得到相同分档
来源数据集（XLSX 文件下载）
数据来源: Anthropic发布时间: 2026-03
0.211
0.000此处所载数值的范围0.745
职业群单位数值
尺度 · 母数 · 来源
观测暴露度指数，按发布原值0–1
以O*NET任务映射为基准
按 SOC 2018 职业发布的数值；具有相同 SOC 2018 代码的所有 O*NET 职业均显示此值
来源数据集（CSV 文件下载）
数据来源: ILO发布时间: 2025
0.56
0.09此处所载数值的范围0.70
职业群单位数值
尺度 · 母数 · 来源
生成式AI暴露度指数，按发布原值0–1
按 ISCO-08 细类（4 位）发布的数值。按原样应用美国劳工统计局（BLS）的官方对照表（ISCO-08→2010 SOC、2010 SOC→2018 SOC）关联到本职业，对应关系为全部或部分对应
来源数据集（PDF 文件下载）

该来源发布的是什么性质的数值

BLS的类别是相对排位而非绝对水平，也不是一手测量：它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测，不是采用概率，也不区分自动化与增强。

Task-level exposure

显示隐藏的 14 项工作

已评分任务 25 项 · β ≥ 0.5 的任务 25 项（100.0%）

β = 直接暴露（E1）+ 0.5 × 借助工具时的暴露（E2），依据原始代码库的定义。

原始单位：O*NET 27.2 任务 → O*NET 31.0 职业代码
所有已评分任务均在 O*NET 31.0 任务列表中。

来源: OpenAI "GPTs are GPTs" exposure rubric
版本: gh-main-0471612
许可: MIT License, Copyright (c) 2024 OpenAI

Task (O*NET 20.1)	Claude.aiRaw / share %
Draw conclusions or make predictions based on data summaries or statistical analyses. 15-2041.01	0.083736.7
Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences. 15-2041.01	0.034915.3
Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports. 15-2041.01	0.029913.1
Prepare tables and graphs to present clinical data or results. 15-2041.01	0.02159.4
Write program code to analyze data using statistical analysis software. 15-2041.01	0.01848.1
Write research proposals or grant applications for submission to external bodies. 15-2041.01	0.01255.5
Develop or implement data analysis algorithms. 15-2041.01	0.00723.2
Design research studies in collaboration with physicians, life scientists, or other professionals. 15-2041.01	0.00672.9
Prepare articles for publication or presentation at professional conferences. 15-2041.01	0.00582.5
Analyze clinical or survey data using statistical approaches such as longitudinal analysis, mixed effect modeling, logistic regression analyses, and model building techniques. 15-2041.01	0.00552.4
Apply research or simulation results to extend biological theory or recommend new research projects. 15-2041.01	0.00220.9
再显示 1 项工作 ▾收起 ▴

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 (O*NET 27.2)	βE1 + 0.5 × E2
Write research proposals or grant applications for submission to external bodies. O*NET Task ID 16241	1.0
Prepare articles for publication or presentation at professional conferences. O*NET Task ID 16245	1.0
Calculate sample size requirements for clinical studies. O*NET Task ID 16246	1.0
Assign work to biostatistical assistants or programmers. O*NET Task ID 16248	1.0
Write program code to analyze data with statistical analysis software. O*NET Task ID 16249	1.0
Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports. O*NET Task ID 16250	1.0
Develop or implement data analysis algorithms. O*NET Task ID 16257	1.0
Design or maintain databases of biological data. O*NET Task ID 16259	1.0
Teach graduate or continuing education courses or seminars in biostatistics. O*NET Task ID 16242	0.5
Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences. O*NET Task ID 16243	0.5
Prepare statistical data for inclusion in reports to data monitoring committees, federal regulatory agencies, managers, or clients. O*NET Task ID 16244	0.5
Determine project plans, timelines, or technical objectives for statistical aspects of biological research studies. O*NET Task ID 16247	0.5
Plan or direct research studies related to life sciences. O*NET Task ID 16251	0.5
Prepare tables and graphs to present clinical data or results. O*NET Task ID 16252	0.5
Monitor clinical trials or experiments to ensure adherence to established procedures or to verify the quality of data collected. O*NET Task ID 16253	0.5
Draw conclusions or make predictions, based on data summaries or statistical analyses. O*NET Task ID 16254	0.5
Develop or use mathematical models to track changes in biological phenomena, such as the spread of infectious diseases. O*NET Task ID 16255	0.5
Design surveys to assess health issues. O*NET Task ID 16256	0.5
Design research studies in collaboration with physicians, life scientists, or other professionals. O*NET Task ID 16258	0.5
Collect data through surveys or experimentation. O*NET Task ID 16260	0.5
Analyze archival data, such as birth, death, and disease records. O*NET Task ID 16261	0.5
Review clinical or other medical research protocols and recommend appropriate statistical analyses. O*NET Task ID 16262	0.5
Provide biostatistical consultation to clients or colleagues. O*NET Task ID 16263	0.5
Apply research or simulation results to extend biological theory or recommend new research projects. O*NET Task ID 16264	0.5
Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques. O*NET Task ID 16265	0.5
再显示 15 项工作 ▾收起 ▴

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

O*NET 31.0 全部任务（25 项）

本职业在 O*NET 31.0 中的全部任务（英文原文；任务类型为核心或补充）。暴露值不列在此清单中，而在上方表格里，位于各来源所用 O*NET 版本的任务表述旁。

任务（O*NET 31.0）	类型
Write research proposals or grant applications for submission to external bodies.	核心
Teach graduate or continuing education courses or seminars in biostatistics.	核心
Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.	核心
Prepare statistical data for inclusion in reports to data monitoring committees, federal regulatory agencies, managers, or clients.	核心
Prepare articles for publication or presentation at professional conferences.	核心
Calculate sample size requirements for clinical studies.	核心
Determine project plans, timelines, or technical objectives for statistical aspects of biological research studies.	核心
Assign work to biostatistical assistants or programmers.	核心
Write program code to analyze data with statistical analysis software.	核心
Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.	核心
Plan or direct research studies related to life sciences.	核心
Prepare tables and graphs to present clinical data or results.	核心
Monitor clinical trials or experiments to ensure adherence to established procedures or to verify the quality of data collected.	核心
Draw conclusions or make predictions, based on data summaries or statistical analyses.	核心
Develop or use mathematical models to track changes in biological phenomena, such as the spread of infectious diseases.	核心
Design surveys to assess health issues.	核心
Develop or implement data analysis algorithms.	核心
Design research studies in collaboration with physicians, life scientists, or other professionals.	核心
Design or maintain databases of biological data.	核心
Collect data through surveys or experimentation.	核心
Analyze archival data, such as birth, death, and disease records.	核心
Review clinical or other medical research protocols and recommend appropriate statistical analyses.	核心
Provide biostatistical consultation to clients or colleagues.	核心
Apply research or simulation results to extend biological theory or recommend new research projects.	核心
Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.	核心

就业展望（BLS）

这些数值属于整个 SOC 15-2041 组（Statisticians），并非仅属于该 O*NET 职业。

就业人数，2025: 31K
预计就业人数，2035: 35K
变化 (2025–35): +11%
年薪中位数，2025: $105,650
入职通常所需学历: Master's degree

最低 $30,890BLS EP 2025–35 中 825 个细分职业的工资中位数范围最高 $559,030

来源: U.S. Bureau of Labor Statistics, Employment Projections 2025–35 — Employment by detailed occupation, 2025 and projected 2035

韩国职业分类关联（KSCO）

来自 AI Changing Work 制作的 Korea Occupation Direct Crosswalk v1.1 当前版本的关联。关系值从 O*NET-SOC 职业一侧解读。

KSCO 代码	KSCO 名称	关系	状态
21123	수학 및 통계학 연구원	本职业范围更窄	已确认

关系与状态的定义(kr-direct v1.1)

国际劳工组织（ILO）职业说明

以下 ISCO-08 职业组由 AI Changing Work 原样套用美国劳工统计局（BLS）发布的对照表（2018 SOC→2010 SOC、2010 SOC→ISCO-08）、不逐案取舍，与本职业相关联；每项关联可能是完全对应，也可能是部分对应。

ISCO-08 2120Mathematicians, Actuaries and Statisticians
数学家、精算师和统计学家

自行翻译

自行翻译 · 非 ISCO 官方词汇 — 未经国际劳工组织审核。

以下定义、任务和职业示例是 ILO 对该 ISCO-08 职业组的描述，而不是对本职业的描述。

Mathematicians, actuaries and statisticians conduct research and improve or develop mathematical, actuarial and statistical concepts, theories and operational methods and techniques and advise on or engage in their practical application in such fields as engineering, business and social and other sciences.

任务

(a) studying, improving and developing mathematical, actuarial and statistical theories and techniques;
(b) advising on or applying mathematical principles, models and techniques to a wide range of tasks in the fields of engineering, natural, social or life sciences;
(c) conducting logical analyses of management problems, especially in terms of input-output effectiveness, and formulating mathematical models of each problem usually for programmeming and solution by computer;
(c) designing and putting into operation pension schemes and life, health, social and other types of insurance systems;
(e) applying mathematics, statistics, probability and risk theory to assess potential financial impacts of future events;
(f) planning and organizing surveys and other statistical collections, and designing questionnaires;
(g) evaluating, processing, analysing, and interpreting statistical data and preparing them for publication;
(h) advising on or applying various data collection methods and statistical methods and techniques, and determining reliability of findings, especially in such fields as business or medicine as well as in other areas of natural, social or life sciences;
(i) preparing scientific papers and reports;
(j) supervising the work of mathematical, actuarial and statistical assistants and statistical clerks.

职业示例

Actuary · Demographer · Mathematician · Operations research analyst · Statistician

Sources: ILO ISCO-08 — details: Credits

ESCO 职业词汇

以下每一项都是在已公开的ESCO-O*NET Crosswalk（第 1 版，2022 年）中与本职业逐项对应的。对应类型出自该对照表；表述出自 AI Changing Work。

biometricianESCO 2120.6.1范围相同
Biometricians perform research in the field of biometrics. They carry statistical or biological research projects by measuring fingerprints, retinas, and human shapes for medical or industrial applications.
statisticianESCO 2120.6本职业范围更窄
Statisticians collect, tabulate, and, most importantly, analyse quantitative information coming from a varied array of fields. They interpret and analyse statistical studies on fields such as health, demographics, finance, business, etc. and advise based on patterns and drawn analysis.

来源: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)

许可: CC BY 4.0 (EU Reuse Notice)

查看原文

ESCO reuse terms and the modification notice are in Credits.

法国职业分类关联（ROME）

本职业与 ROME 4.0 职业条目（fiche）之间的关联，由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。标为「暂定」的关联仅凭同一模型系列（Claude）两位判定者的判定采纳，或对其判定适用运营方规则后采纳，因此其依据弱于已确认的关联。

ROME 代码	ROME 名称（法语）	关系
K2403	Biostatisticien / Biostatisticienne	范围相同暂定
M1408	Responsable des études pharmaco-économiques en industrie pharmaceutique	相关，但不对应暂定
M1414	Ingénieur statisticien / Ingénieure statisticienne	相关，但不对应暂定

Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.

ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.

(AI Changing Work link release: fr-direct v1)

西班牙职业分类关联（CNO-11）

本职业与 CNO-11 职业之间的关联，由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。

CNO-11 代码	CNO-11 名称（西班牙语）	关系
2416	Estadísticos	本职业范围更窄暂定

Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.

(AI Changing Work link release: es-direct v1)

德国职业分类关联（KldB）

本职业与 KldB 职业之间的关联，由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。

KldB 代码	KldB 名称（德语）	关系
41114	Berufe in der Statistik - hoch komplexe Tätigkeiten	本职业范围更窄暂定

Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.

(AI Changing Work link release: de-direct v1)

日本职业分类关联（JSCO）

本职业与 JSCO 职业之间的关联，由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。

JSCO 代码	JSCO 名称（日语）	关系
051	自然科学系研究者	本职业范围更窄

Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.

(AI Changing Work link release: jp-direct v1)

本页数据的来源与许可，以及 AI Changing Work 的修改与翻译说明：致谢与来源