Clinical Data Managers
Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends.
How AI Impacts Each Task
21 tasks analyzed
Design and validate clinical databases, including designing or testing logic checks.
Process clinical data, including receipt, entry, verification, or filing of information.
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.
Monitor work productivity or quality to ensure compliance with standard operating procedures.
Prepare appropriate formatting to data sets as requested.
Design forms for receiving, processing, or tracking data.
Prepare data analysis listings and activity, performance, or progress reports.
Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols.
Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data.
Analyze clinical data using appropriate statistical tools.
Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency.
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.
Track the flow of work forms, including in-house data flow or electronic forms transfer.
Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation.
Supervise the work of data management project staff.
Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.
Train staff on technical procedures or software program usage.
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.
| Task | AI Capability | Risk | Time % | |
|---|---|---|---|---|
| Design and validate clinical databases, including designing or testing logic checks. | 51.25Observed | 47.5% | 10% | |
| Process clinical data, including receipt, entry, verification, or filing of information. | 38.02Observed | 64.4% | 12% | |
| Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems. | 92Estimated | 86.0% | 8% | |
| Develop project-specific data management plans that address areas such as coding, reporting, or transfer of data, database locks, and work flow processes. | 60Estimated | 51.0% | 8% | |
| Monitor work productivity or quality to ensure compliance with standard operating procedures. | 87Estimated | 84.0% | 5% | |
| Prepare appropriate formatting to data sets as requested. | 36.6Observed | 63.8% | 5% | |
| Design forms for receiving, processing, or tracking data. | 59.72Observed | 50.9% | 4% | |
| Prepare data analysis listings and activity, performance, or progress reports. | 43.55Observed | 66.6% | 5% | |
| Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols. | 30Estimated | 27.0% | 5% | |
| Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data. | 37Observed | 64.0% | 5% | |
| Analyze clinical data using appropriate statistical tools. | 54.75Observed | 48.9% | 5% | |
| Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency. | 55Estimated | 49.0% | 3% | |
| Develop technical specifications for data management programming and communicate needs to information technology staff. | 65Estimated | 53.0% | 3% | |
| Write work instruction manuals, data capture guidelines, or standard operating procedures. | 90Estimated | 85.2% | 3% | |
| Track the flow of work forms, including in-house data flow or electronic forms transfer. | 95Estimated | 87.2% | 3% | |
| Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation. | 52.95Observed | 70.4% | 3% | |
| Supervise the work of data management project staff. | 20Estimated | 23.0% | 4% | |
| Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices. | 57.12Observed | 49.9% | 2% | |
| Train staff on technical procedures or software program usage. | 63.1Observed | 40.2% | 2% | |
| Develop or select specific software programs for various research scenarios. | 50Estimated | 47.0% | 2% | |
| Provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs. | 60.3Observed | 39.1% | 3% |
Skill Impact Analysis
AI-Vulnerable Skills (6)
High reliance on Information Ordering is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Reading Comprehension is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Programming is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.
Memorization is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.
AI-Resistant Skills (11)
Leadership is AI-resistant — strengthening this skill provides durable career protection.
Adaptability/Flexibility is AI-resistant — strengthening this skill provides durable career protection.
Complex Problem Solving is AI-resistant — strengthening this skill provides durable career protection.
Coordination is AI-resistant — strengthening this skill provides durable career protection.
Social Perceptiveness is AI-resistant — strengthening this skill provides durable career protection.
Instructing is AI-resistant — strengthening this skill provides durable career protection.
Persuasion is AI-resistant — strengthening this skill provides durable career protection.
Service Orientation is AI-resistant — strengthening this skill provides durable career protection.
Recommended Courses
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Score History
Risk score over 3 scoring runs
overall change
Education & Training
Percentage of workers at each education and training level
Education Level
Prior Experience Needed
Work experience required to enter this job
Training Provided After Hiring
How long it typically takes to learn on the job
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Last scored March 14, 2026 · Based on BLS employment data and O*NET task analysis