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How exposed to AI is a Clinical Data Manager?

Of the 21 tasks O*NET lists for clinical data managers, 8 could be done in half the time with a chat window today. 5 cannot be sped up at all. Here is which.

Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this

Also called
Clinical Data Management Director (CDM Director)Clinical Data Management Manager (CDM Manager)Clinical Data ManagerClinical Informatics ManagerData Deliverables ManagerData Management Manager
Reachable today Needs software built first Cannot be sped up
21
tasks rated for this occupation
95%
hold a degree, from a survey of 20
106k
people do this job in the US
36 of 36
least protected in computing and maths

Every task, and what AI can do with it

These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.

Reachable with a chat window today

8
  • Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems
  • Develop project-specific data management plans that address areas such as coding, reporting, or transfer of data, database locks, and work flow processes
  • Prepare data analysis listings and activity, performance, or progress reports
  • Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data
  • Analyze clinical data using appropriate statistical tools
  • Develop technical specifications for data management programming and communicate needs to information technology staff
  • Write work instruction manuals, data capture guidelines, or standard operating procedures
  • Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation

Only with software built on top

8
  • Design and validate clinical databases, including designing or testing logic checks
  • Process clinical data, including receipt, entry, verification, or filing of information
  • Prepare appropriate formatting to data sets as requested
  • Design forms for receiving, processing, or tracking data
  • Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols
  • Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices
  • Develop or select specific software programs for various research scenarios
  • Provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs

Cannot be sped up

5
  • Monitor work productivity or quality to ensure compliance with standard operating procedures
  • Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency
  • Track the flow of work forms, including in-house data flow or electronic forms transfer
  • Supervise the work of data management project staff
  • Train staff on technical procedures or software program usage
What this does not say

This is not a prediction about your job

Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.

It must never be used to select anyone for redundancy. The full limits are here.

Where to go next

This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.

Sort your own tasks Read the full report

Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.