Biostatisticians
Computer and Mathematical Occupations- O*NET-SOC code
- 15-2041.01
Develop and apply biostatistical theory and methods to the study of life sciences.
- Data source: BLSPublished: 2026-08
Very high· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.211
0.000Range of values carried here0.745Group-level value
Scale, basis and source
Observed exposure index, 0–1 as published
Mapped onto O*NET tasks
Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value
- Data source: ILOPublished: 2025
0.56
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Exposed tasks only25 rated tasks · 25 tasks with β ≥ 0.5 (100.0%)
β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.
- Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
- All rated tasks are in the O*NET 31.0 task list.
- Source
- OpenAI "GPTs are GPTs" exposure rubric
- Release
- gh-main-0471612
- License
- MIT License, Copyright (c) 2024 OpenAI
| Task (O*NET 20.1) | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Prepare articles for publication or presentation at professional conferences.15-2041.01 | 0.029929.4 | 0.00626.0 |
Write program code to analyze data using statistical analysis software.15-2041.01 | 0.020520.2 | 0.056655.0 |
Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.15-2041.01 | 0.016916.6 | 0.015615.2 |
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 | 0.011711.5 | 0.00282.7 |
Draw conclusions or make predictions based on data summaries or statistical analyses.15-2041.01 | 0.00767.5 | 0.012612.2 |
Collect data through surveys or experimentation.15-2041.01 | 0.00555.4 | 0.00918.8 |
Prepare tables and graphs to present clinical data or results.15-2041.01 | 0.00424.1 | —0 |
Write research proposals or grant applications for submission to external bodies.15-2041.01 | 0.00292.9 | —0 |
Plan or direct research studies related to life sciences.15-2041.01 | 0.00252.5 | —0 |
| Not observed on any surface — 16 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | ||
Teach graduate or continuing education courses or seminars in biostatistics. | —0 | —0 |
Prepare statistical data for inclusion in reports to data monitoring committees, federal regulatory agencies, managers, or clients. | —0 | —0 |
Calculate sample size requirements for clinical studies. | —0 | —0 |
Determine project plans, timelines, or technical objectives for statistical aspects of biological research studies. | —0 | —0 |
Assign work to biostatistical assistants or programmers. | —0 | —0 |
Monitor clinical trials or experiments to ensure adherence to established procedures or to verify the quality of data collected. | —0 | —0 |
Develop or use mathematical models to track changes in biological phenomena such as the spread of infectious diseases. | —0 | —0 |
Develop or implement data analysis algorithms. | —0 | —0 |
Design research studies in collaboration with physicians, life scientists, or other professionals. | —0 | —0 |
Design or maintain databases of biological data. | —0 | —0 |
Analyze archival data such as birth, death, and disease records. | —0 | —0 |
Review clinical or other medical research protocols and recommend appropriate statistical analyses. | —0 | —0 |
Provide biostatistical consultation to clients or colleagues. | —0 | —0 |
Apply research or simulation results to extend biological theory or recommend new research projects. | —0 | —0 |
Analyze clinical or survey data using statistical approaches such as longitudinal analysis, mixed effect modeling, logistic regression analyses, and model building techniques. | —0 | —0 |
Design surveys to assess health issues. | —0 | —0 |
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 |
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
All O*NET 31.0 task statements (25)
All O*NET 31.0 task statements for this occupation (English, as published; task type core or supplemental). Exposure values are not listed here; they are in the table above, next to each task statement as worded in the O*NET version each source used.
| Task (O*NET 31.0) | Type |
|---|---|
| Write research proposals or grant applications for submission to external bodies. | Core |
| Teach graduate or continuing education courses or seminars in biostatistics. | Core |
| 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. | Core |
| Prepare statistical data for inclusion in reports to data monitoring committees, federal regulatory agencies, managers, or clients. | Core |
| Prepare articles for publication or presentation at professional conferences. | Core |
| Calculate sample size requirements for clinical studies. | Core |
| Determine project plans, timelines, or technical objectives for statistical aspects of biological research studies. | Core |
| Assign work to biostatistical assistants or programmers. | Core |
| Write program code to analyze data with statistical analysis software. | Core |
| Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports. | Core |
| Plan or direct research studies related to life sciences. | Core |
| Prepare tables and graphs to present clinical data or results. | Core |
| Monitor clinical trials or experiments to ensure adherence to established procedures or to verify the quality of data collected. | Core |
| Draw conclusions or make predictions, based on data summaries or statistical analyses. | Core |
| Develop or use mathematical models to track changes in biological phenomena, such as the spread of infectious diseases. | Core |
| Design surveys to assess health issues. | Core |
| Develop or implement data analysis algorithms. | Core |
| Design research studies in collaboration with physicians, life scientists, or other professionals. | Core |
| Design or maintain databases of biological data. | Core |
| Collect data through surveys or experimentation. | Core |
| Analyze archival data, such as birth, death, and disease records. | Core |
| Review clinical or other medical research protocols and recommend appropriate statistical analyses. | Core |
| Provide biostatistical consultation to clients or colleagues. | Core |
| Apply research or simulation results to extend biological theory or recommend new research projects. | Core |
| Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques. | Core |
0.00/ 3· Robot exposure index
Scale, basis and source
Each physical task is graded 0–3 by the setting in which robots that have been deployed, sold or demonstrated could do it (0 none · 1 purpose-built robot settings such as a fenced machine cell or a bottling line · 2 structured facilities such as a hospital pharmacy or a container port · 3 unstructured settings such as a private home or a construction site), and the grades are averaged by share of working time
Physical tasks among this occupation's O*NET 29.3 tasks
Anthropic estimated the grades and time shares with Claude Opus 5 using web search, as of 2026.
The robot exposure index is a different measure from the AI exposure figures on this site and cannot be added to or compared with them. It does not measure actual adoption or cost, and 0 also covers occupations with no physical tasks.
Tier of each physical task
None of this occupation's O*NET 29.3 tasks is classified as a physical task.
Occupation information
Employment outlook (BLS)
Values for the whole SOC 15-2041 group (Statisticians), not for this O*NET occupation alone.
- Employment, 2025
- 31K
- Projected employment, 2035
- 35K
- Change (2025–35)
- +11%
- Median annual wage, 2025
- $105,650
- Typical education needed for entry
- Master's degree
Korea classification links (KSCO)
Links from the current release of the Korea Occupation Direct Crosswalk v1.1, made by AI Changing Work. Relation values are read from the O*NET-SOC occupation side.
| KSCO code | KSCO title | Relation | Status |
|---|---|---|---|
| 21123 | 수학 및 통계학 연구원 | This occupation is narrower | confirmed |
Relation and status definitions(kr-direct v1.1)
ILO occupational description
AI Changing Work links the ISCO-08 unit groups below to this occupation by applying the U.S. Bureau of Labor Statistics crosswalks (2018 SOC to 2010 SOC, 2010 SOC to ISCO-08) as published, without case-by-case selection; each link may be whole or partial.
- ISCO-08 2120Mathematicians, Actuaries and Statisticians
The definition, tasks and examples below are the ILO's description of that unit group, not of this occupation.
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.
Tasks
- (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.
Example occupations
Actuary · Demographer · Mathematician · Operations research analyst · Statistician
Sources: ILO ISCO-08 — details: Credits
ESCO occupational vocabulary
Each entry below is matched to this occupation in the published ESCO-O*NET Crosswalk (version 1, 2022). The match types are that crosswalk's; the wording is AI Changing Work's.
- biometricianESCO 2120.6.1Same scope
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 2120.6This occupation is narrower
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.
Source: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)
License: CC BY 4.0 (EU Reuse Notice)
ESCO reuse terms and the modification notice are in Credits.
France classification links (ROME)
AI Changing Work's links between this occupation and ROME 4.0 job profiles, judged with AI models. Relations are read from this occupation's side. Links marked “provisional” were adopted on the judgments of two judges from the same model family (Claude) alone, or by an operator rule applied to their judgments, so they rest on weaker evidence than confirmed links.
| ROME code | ROME title (French) | Relation |
|---|---|---|
| K2403 | Biostatisticien / Biostatisticienne | Same scopeprovisional |
| M1408 | Responsable des études pharmaco-économiques en industrie pharmaceutique | Related, not a matchprovisional |
| M1414 | Ingénieur statisticien / Ingénieure statisticienne | Related, not a matchprovisional |
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)
Spain classification links (CNO-11)
AI Changing Work's links between this occupation and CNO-11 occupations, judged with AI models. Relations are read from this occupation's side.
| CNO-11 code | CNO-11 title (Spanish) | Relation |
|---|---|---|
| 2416 | Estadísticos | This occupation is narrowerprovisional |
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)
Germany classification links (KldB)
AI Changing Work's links between this occupation and KldB occupations, judged with AI models. Relations are read from this occupation's side.
| KldB code | KldB title (German) | Relation |
|---|---|---|
| 41114 | Berufe in der Statistik - hoch komplexe Tätigkeiten | This occupation is narrowerprovisional |
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)
Japan classification links (JSCO)
AI Changing Work's links between this occupation and JSCO occupations, judged with AI models. Relations are read from this occupation's side.
| JSCO code | JSCO title (Japanese) | Relation |
|---|---|---|
| 051 | 自然科学系研究者 | This occupation is narrower |
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)
Sources, licenses and AI Changing Work's modification and translation notices for this page: Credits & sources