Clinical Data Managers

Computer and Mathematical
0%
AI Risk
62% AI risk — Medium risk level
Moderate Risk
62% • Medium exposure
Based on task-level analysis (O*NET)

AI Impact Assessment

This job may see some changes due to AI, but human skills remain important.

Clinical Data Managers with an AI automation risk score of 62%. Analysis includes 21 core tasks.

Safer Career Paths

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Key Tasks

Develop or select specific software programs for various research scenarios.

Risk: 82%

Train staff on technical procedures or software program usage.

Risk: 66%

Develop technical specifications for data management programming and communicate needs to information technology staff.

Risk: 63%

Prepare appropriate formatting to data sets as requested.

Risk: 83%

Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.

Risk: 75%

Analyze clinical data using appropriate statistical tools.

Risk: 64%

Supervise the work of data management project staff.

Risk: 64%

Design and validate clinical databases

Risk: 0%

Upskilling Courses

Data Sources

Analysis based on O*NET data

Method: rule+context+activity+calibration
Clinical Data Managers — AI Risk 62% | IMJS