Clinical Data Managers

Computer and Mathematical Occupations

O*NET-SOC 代码: 15-2051.02

Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends.

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
0.461
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
0.57
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 8 项工作

已评分任务 21 项 · β ≥ 0.5 的任务 21 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

以下为 O*NET-SOC 2010 职业 15-2041.02 Clinical Data Managers 的工作任务，由本站依据 O*NET-SOC 2010→2019 官方对照表关联到此职业

Task (O*NET 20.1)	Claude.aiRaw / share %
Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices. 15-2041.02	0.139945.0
Prepare appropriate formatting to data sets as requested. 15-2041.02	0.075924.4
Prepare data analysis listings and activity, performance, or progress reports. 15-2041.02	0.02528.1
Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation. 15-2041.02	0.01896.1
Analyze clinical data using appropriate statistical tools. 15-2041.02	0.01785.7
Design forms for receiving, processing, or tracking data. 15-2041.02	0.01234.0
Develop or select specific software programs for various research scenarios. 15-2041.02	0.00541.8
Process clinical data, including receipt, entry, verification, or filing of information. 15-2041.02	0.00501.6
Provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs. 15-2041.02	0.00260.8
Design and validate clinical databases including designing or testing logic checks. 15-2041.02	0.00240.8
Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data. 15-2041.02	0.00180.6
Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols. 15-2041.02	0.00180.6
Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency. 15-2041.02	0.00150.5
再显示 3 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
Prepare appropriate formatting to data sets as requested. O*NET Task ID 16268	1.0
Develop technical specifications for data management programming and communicate needs to information technology staff. O*NET Task ID 16270	1.0
Develop or select specific software programs for various research scenarios. O*NET Task ID 16271	1.0
Write work instruction manuals, data capture guidelines, or standard operating procedures. O*NET Task ID 16273	1.0
Design and validate clinical databases, including designing or testing logic checks. O*NET Task ID 16281	1.0
Design forms for receiving, processing, or tracking data. O*NET Task ID 16286	1.0
Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices. O*NET Task ID 16266	0.5
Provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs. O*NET Task ID 16267	0.5
Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency. O*NET Task ID 16269	0.5
Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation. O*NET Task ID 16272	0.5
Track the flow of work forms, including in-house data flow or electronic forms transfer. O*NET Task ID 16274	0.5
Train staff on technical procedures or software program usage. O*NET Task ID 16275	0.5
Supervise the work of data management project staff. O*NET Task ID 16276	0.5
Prepare data analysis listings and activity, performance, or progress reports. O*NET Task ID 16277	0.5
Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data. O*NET Task ID 16278	0.5
Monitor work productivity or quality to ensure compliance with standard operating procedures. O*NET Task ID 16279	0.5
Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems. O*NET Task ID 16280	0.5
Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols. O*NET Task ID 16282	0.5
Analyze clinical data using appropriate statistical tools. O*NET Task ID 16283	0.5
Process clinical data, including receipt, entry, verification, or filing of information. O*NET Task ID 16284	0.5
Develop project-specific data management plans that address areas such as coding, reporting, or transfer of data, database locks, and work flow processes. O*NET Task ID 16285	0.5
再显示 11 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（21 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
Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.	核心
Prepare appropriate formatting to data sets as requested.	核心
Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency.	核心
Develop technical specifications for data management programming and communicate needs to information technology staff.	核心
Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation.	核心
Write work instruction manuals, data capture guidelines, or standard operating procedures.	核心
Track the flow of work forms, including in-house data flow or electronic forms transfer.	核心
Train staff on technical procedures or software program usage.	核心
Supervise the work of data management project staff.	核心
Prepare data analysis listings and activity, performance, or progress reports.	核心
Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data.	核心
Monitor work productivity or quality to ensure compliance with standard operating procedures.	核心
Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems.	核心
Design and validate clinical databases, including designing or testing logic checks.	核心
Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols.	核心
Analyze clinical data using appropriate statistical tools.	核心
Process clinical data, including receipt, entry, verification, or filing of information.	核心
Develop project-specific data management plans that address areas such as coding, reporting, or transfer of data, database locks, and work flow processes.	核心
Design forms for receiving, processing, or tracking data.	核心
Provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs.	补充
Develop or select specific software programs for various research scenarios.	补充

就业展望（BLS）

这些数值属于整个 SOC 15-2051 组（Data scientists），并非仅属于该 O*NET 职业。

就业人数，2025: 276K
预计就业人数，2035: 371K
变化 (2025–35): +34.6%
年薪中位数，2025: $120,230
入职通常所需学历: Bachelor'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
22412	데이터베이스 관리 및 운영자	相关，但不对应	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 3314Statistical, Mathematical and Related Associate Professionals
统计、数学及有关助理专业人员

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。

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.

任务

(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;
(h) supervising the work of statistical clerks.

职业示例

Actuarial assistant · Mathematical assistant · Statistical assistant

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。

clinical informatics managerESCO 1342.1有重叠，但不相同
Clinical informatics managers oversee the daily operations of information systems used in a medical institutions. They also carry out research, using their understanding of clinical practices to find ways to improve healthcare services.
medical records managerESCO 3252.2有重叠，但不相同
Medical records managers are responsible for managing activities of medical records units which maintain and secure patient data. They supervise, oversee and train employees while implementing medical department policies.

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
H1223	Coordinateur / Coordinatrice d'études cliniques en industrie pharmaceutique	相关，但不对应暂定
K2403	Biostatisticien / Biostatisticienne	相关，但不对应暂定
M1617	Médecin responsable de la Documentation et de l'Information Médicale (Médecin responsable DIM)	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
2721	Diseñadores y administradores de bases de datos	相关，但不对应
3322	Técnicos superiores en documentación sanitaria	相关，但不对应

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
73342	Berufe in der medizinischen Dokumentation - fachlich ausgerichtete Tätigkeiten	本职业范围更窄
41114	Berufe in der Statistik - hoch komplexe Tätigkeiten	相关，但不对应

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
109	その他の情報処理・通信技術者	相关，但不对应
259	その他の一般事務従事者	相关，但不对应

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