As of June 2026, Clinical Data Managers has an AI-exposure score of 76/100 (Very High exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.
Clinical Data Managers
More exposed than 96% of the roles we track. Median pay ~US$120,230. About 23,400 projected openings a year (BLS 2024–34 — growth plus replacement).
Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.
How you compare to similar Computer & Mathematical roles
Your tasks, by AI exposure
- Process clinical data, including receipt, entry, verification, or filing of information.
- Prepare appropriate formatting to data sets as requested.
- Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols.
- Develop technical specifications for data management programming and communicate needs to information technology staff.
- Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems.
- Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency.
- Develop project-specific data management plans that address areas such as coding, reporting, or transfer of data, database locks, and work flow processes.
- Write work instruction manuals, data capture guidelines, or standard operating procedures.
- Train staff on technical procedures or software program usage.
- Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation.
- Monitor work productivity or quality to ensure compliance with standard operating procedures.
- Prepare data analysis listings and activity, performance, or progress reports.
- Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.
- Analyze clinical data using appropriate statistical tools.
- Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data.
- Develop or select specific software programs for various research scenarios.
- Supervise the work of data management project staff.
- Design forms for receiving, processing, or tracking data.
- Track the flow of work forms, including in-house data flow or electronic forms transfer.
- Design and validate clinical databases, including designing or testing logic checks.
No augmentable tasks identified for this role — its real, individually-assessed tasks consistently read as automatable (100%).
No durable tasks identified for this role — its real, individually-assessed tasks consistently read as automatable (100%).
Safer adjacent roles
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Every task scored with what to do about it · 5–10 safer roles with salary, demand & reachability · skill-gap map · a 30/60/90-day roadmap · plus a résumé & LinkedIn rewrite · PDF.
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AI was the most-cited reason for U.S. layoffs through mid-2026 — the workers who adapt earliest fare best. — Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium — adapting pays. — PwC Global AI Jobs Barometer, 2026
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Clinical Data Managers — median pay by US state (BLS OEWS, USD)
Median annual wage, in USD. US national: US$120,230. More states are being added.