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Clinical Data Managers

Clinical Data Managers score 64 out of 100, which is high exposure to AI. That ranks #74 of 923 US occupations, where #1 is the most exposed. Of the 21 tasks in this job, AI could speed up 6 on its own and 15 more with extra software built on top of it. In April–May 2026, 13 of these tasks showed up in real conversations with Claude, Anthropic's AI assistant.

64/ 100
High
Rank
#74of 923 jobs
US workers
262,440for Data Scientists
Median pay
$120,230a year
In real AI use
13 of 21tasks, April–May 2026

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

  • AI can speed this up on its own: 6 (29%)
  • AI can speed this up with extra software: 15 (71%)
  • Little or no AI speed-up: 0 (0%)
  • Design and validate clinical databases, including designing or testing logic checks.AI can speed this up on its own · core task
  • Prepare appropriate formatting to data sets as requested.AI can speed this up on its own · core task · Seen in real AI use
  • Design forms for receiving, processing, or tracking data.AI can speed this up on its own · core task · Seen in real AI use
  • Develop technical specifications for data management programming and communicate needs to information technology staff.AI can speed this up on its own · core task · Seen in real AI use
  • Write work instruction manuals, data capture guidelines, or standard operating procedures.AI can speed this up on its own · core task · Seen in real AI use
  • Develop or select specific software programs for various research scenarios.AI can speed this up on its own · supplemental task
  • Process clinical data, including receipt, entry, verification, or filing of information.AI can speed this up with extra software · core task · Seen in real AI use
  • Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems.AI can speed this up with extra software · core task · Seen in real AI use
  • Develop project-specific data management plans that address areas such as coding, reporting, or transfer of data, database locks, and work flow processes.AI can speed this up with extra software · core task · Seen in real AI use
  • Monitor work productivity or quality to ensure compliance with standard operating procedures.AI can speed this up with extra software · core task · Seen in real AI use
  • Prepare data analysis listings and activity, performance, or progress reports.AI can speed this up with extra software · core task · Seen in real AI use
  • Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols.AI can speed this up with extra software · core task
  • Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data.AI can speed this up with extra software · core task · Seen in real AI use
  • Analyze clinical data using appropriate statistical tools.AI can speed this up with extra software · core task · Seen in real AI use
  • Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency.AI can speed this up with extra software · core task · Seen in real AI use
  • Track the flow of work forms, including in-house data flow or electronic forms transfer.AI can speed this up with extra software · core task
  • Supervise the work of data management project staff.AI can speed this up with extra software · core task
  • Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation.AI can speed this up with extra software · core task
  • Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.AI can speed this up with extra software · core task
  • Train staff on technical procedures or software program usage.AI can speed this up with extra software · core task · Seen in real AI use
  • Provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs.AI can speed this up with extra software · supplemental task

Similar jobs, lower exposure

Related occupations that score at least 10 points lower.

Other jobs in this field

Computer and Mathematical occupations close to this one.

Questions about clinical data managers and AI

Will AI replace clinical data managers?

Probably not entirely, but the job is likely to change a lot. Clinical Data Managers score 64 out of 100 (high exposure), #74 of 923 US jobs. AI could speed up 21 of the job's 21 tasks, 6 of them on its own. Exposure means the work is likely to change, not that the job will disappear.

Which clinical data managers tasks can AI do?

The most exposed tasks include "Design and validate clinical databases, including designing or testing logic checks"; "Prepare appropriate formatting to data sets as requested"; "Design forms for receiving, processing, or tracking data".

Which clinical data managers tasks are hardest for AI?

Every task in this job has some AI exposure, though 15 of them need extra software built around the AI.

Are people already using AI for this work?

Yes. In April–May 2026, 13 of the 21 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.

How many people work as clinical data managers, and what do they earn?

About 262,440 people in the US (figure for Data Scientists), with median pay of $120,230 a year (BLS, May 2025).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.

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