Will AI replace clinical data managers?

Parts of the job are being automated. About 2h 6m of an 8-hour shift goes to tasks that AI or robots already do largely on their own. The rest still needs a person. The breakdown: 12m done by people with AI help, 2h 6m that AI mostly does alone. The other 5h 42m (71%) stays with people. Separately, BLS expects about 34.6% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 6 of 21 tasks, about 2h 18m of a typical shift. The biggest ones:

• Process clinical data, including receipt, entry, verification, or filing of information. (36m a shift, AI mostly does it alone)
• Design forms for receiving, processing, or tracking data. (30m a shift, AI mostly does it alone)
• Prepare data analysis listings and activity, performance, or progress reports. (24m a shift, AI mostly does it alone)
• Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation. (24m a shift, AI mostly does it alone)
• Prepare appropriate formatting to data sets as requested. (12m a shift, AI mostly does it alone)

5h 42m of a typical shift, or 71%, goes to tasks with no AI or robot evidence yet. The biggest:

• Design and validate clinical databases, including designing or testing logic checks. (48m a shift)
• Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems. (42m a shift)
• Develop project-specific data management plans that address areas such as coding, reporting, or transfer of data, database locks, and work flow processes. (30m a shift)
• Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols. (30m a shift)
• Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data. (30m a shift)

The median pay is about $120,230 a year ($57.80 an hour), 136% above the median for all U.S. jobs ($50,980). Source: BLS, May 2025.

BLS projects growth of 34.6% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 371,000 jobs in 2035. It expects about 25,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 262,000 people in the U.S., roughly 0.17% of all workers (BLS, May 2025).

Bachelor's degree. O*NET rates this job at level 4 of 5 for preparation.

Based on official skill ratings and the tasks that stay with people:

• Skills that matter more here than in most jobs: Programming, Mathematics, Critical Thinking, Systems Analysis
• Get strong at the parts of the job that stay with people (listed above), which take 5h 42m of a typical shift
• Tools employers list: Structured query language SQL, SAS, Microsoft Visio, Microsoft PowerPoint, Microsoft Office software
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills:

• Statisticians (2h 34m touched, $106k median pay)
• Software Quality Assurance Analysts and Testers (3h 26m touched, $104k median pay)
• Health Informatics Specialists (1h 37m touched, $106k median pay)
• Social Science Research Assistants (3h 57m touched, $62k median pay)
• Bioinformatics Technicians (3h 38m touched, $81k median pay)

Each task carries its own evidence label. For this job: 6 observed in real AI use, 15 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.