生物统计学家
计算机与数学AI暴露度
- 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
- 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尺度 · 母数 · 来源
- 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
ISCO-08职业小类单位 — 共用同一代码的职业取值相同
本站计算，并非国际劳工组织发布的数值。在本站与 ILO 数据集相连的 1,012 个职业中，达到或高于此值的占 8%。
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 26 项工作| Task | Claude.aiRaw / share % |
|---|---|
Draw conclusions or make predictions based on data summaries or statistical analyses.15-2041 | 0.169513.1 |
Evaluate sources of information to determine any limitations in terms of reliability or usability.15-2041 | 0.162512.6 |
Prepare appropriate formatting to data sets as requested.15-2041 | 0.12389.6 |
Identify relationships and trends in data, as well as any factors that could affect the results of research.15-2041 | 0.09897.7 |
Report results of statistical analyses, including information in the form of graphs, charts, and tables.15-2041 | 0.07575.9 |
Process large amounts of data for statistical modeling and graphic analysis, using computers.15-2041 | 0.07325.7 |
Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.15-2041 | 0.06795.3 |
Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.15-2041 | 0.05904.6 |
Develop an understanding of fields to which statistical methods are to be applied to determine whether methods and results are appropriate.15-2041 | 0.05884.6 |
Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.15-2041 | 0.05864.5 |
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 |
|---|---|
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 |
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