AI exposure by occupation, O*NET 15-2051.02

Will AI replace Clinical Data Managers?

Clinical Data Managers: AI can already handle 3 of 21 tasks; the work mostly needs a frontier-tier model.

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Every task, scored

The 21 tasks O*NET 30.3 lists for Clinical Data Managers, from most to least exposed. 3 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Prepare data analysis listings and activity, performance, or progress reports. 86 Observed Standard 4.0
Prepare appropriate formatting to data sets as requested. 85 Observed Standard 4.0
Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency. 79 Observed Standard 3.7
Process clinical data, including receipt, entry, verification, or filing of information. 55 Estimated Efficient 4.4
Monitor work productivity or quality to ensure compliance with standard operating procedures. 55 Estimated Standard 4.0
Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols. 55 Estimated Standard 3.8
Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data. 55 Estimated Standard 3.7
Track the flow of work forms, including in-house data flow or electronic forms transfer. 55 Estimated Efficient 3.5
Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation. 55 Estimated Frontier 3.4
Supervise the work of data management project staff. 55 Estimated Frontier 3.4
Provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs. 55 Estimated Standard 2.8
Design and validate clinical databases, including designing or testing logic checks. 50 Estimated Efficient 4.5
Develop project-specific data management plans that address areas such as coding, reporting, or transfer of data, database locks, and work flow processes. 50 Estimated Frontier 4.3
Design forms for receiving, processing, or tracking data. 50 Estimated Frontier 4.0
Develop technical specifications for data management programming and communicate needs to information technology staff. 50 Estimated Frontier 3.6
Develop or select specific software programs for various research scenarios. 50 Estimated Frontier 3.1
Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems. 40 Observed Standard 4.3
Analyze clinical data using appropriate statistical tools. 40 Observed Efficient 3.7
Write work instruction manuals, data capture guidelines, or standard operating procedures. 40 Observed Efficient 3.6
Train staff on technical procedures or software program usage. 35 Estimated Efficient 3.1
Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices. 20 Estimated Efficient 3.3

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 6 of 21 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 15 of 21. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A frontier-tier model or lower covers 100% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
262,440
Median annual wage
$120,230
Middle half of earners
$85,660 to $158,880
Projected change, 2024 to 2034
+33.5%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Clinical Data Managers and AI

Will AI replace Clinical Data Managers?

AI already handles 3 of the 21 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 54 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +33.5% from 2024 to 2034.

What is the AI exposure of Clinical Data Managers?

54 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 6 of the 21 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 15 are estimated from each task's O*NET work activity.

Which Clinical Data Managers tasks can AI already do?

The tasks with the highest exposure are: Prepare data analysis listings and activity, performance, or progress reports; Prepare appropriate formatting to data sets as requested; Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency. They are the tasks that reach 60 or more.

What AI model tier does this role need?

A frontier-tier model or lower covers 100% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Clinical Data Managers, and what do they earn?

262,440 people in the United States, with a median annual wage of $120,230 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +33.5% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Clinical Data Managers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/clinical-data-managers

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