Clinical Data Managers
SOC: 15-2041.02 · Job Zone 4 (Considerable preparation)
Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends.
AI Impact Summary
Clinical Data Managers faces moderate AI displacement risk with a score of 49/100. Significant displacement is estimated between 2046 and 2076. Of 21 analyzed tasks, 9 are highly automatable, particularly in routine_cognitive. Strong protective factors — including social intelligence, creativity, or regulatory barriers — significantly reduce effective risk.
Wage & Employment (2024)
Median Wage
$103,300
per year
Mean Wage
$112,330
per year
Employment
30K
workers
Wage Range
$60,390 - $170,700
10th - 90th pct
Wage Distribution
Protective Factors
Total protective discount: 23.0%
Skill 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 (7)
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.
Negotiation is AI-resistant — strengthening this skill provides durable career protection.
Manual Dexterity is AI-resistant — strengthening this skill provides durable career protection.
AI-Augmented Skills (5)
Recommendations
Skills to Develop
These skills are at risk from AI automation. Clinical Data Managers professionals should diversify beyond them.
- Information Ordering
High reliance on Information Ordering is a risk area. Consider developing complementary AI-resistant skills to maintain value.
- Reading Comprehension
High reliance on Reading Comprehension is a risk area. Consider developing complementary AI-resistant skills to maintain value.
- Mathematics
High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.
- Programming
High reliance on Programming is a risk area. Consider developing complementary AI-resistant skills to maintain value.
- Mathematics
High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.
Skills to Leverage
These human-centric skills remain difficult for AI to replicate. Double down here.
- Complex Problem Solving
Complex Problem Solving is AI-resistant — strengthening this skill provides durable career protection.
- Coordination
Coordination is AI-resistant — strengthening this skill provides durable career protection.
- Social Perceptiveness
Social Perceptiveness is AI-resistant — strengthening this skill provides durable career protection.
- Instructing
Instructing is AI-resistant — strengthening this skill provides durable career protection.
- Persuasion
Persuasion is AI-resistant — strengthening this skill provides durable career protection.
Tools to Adopt
AI can amplify these skills. Learn the tools that augment rather than replace your work.
- Critical Thinking
Critical Thinking will be enhanced by AI. Develop expertise in using AI tools for this skill to increase productivity.
- Writing
Writing will be enhanced by AI. Develop expertise in using AI tools for this skill to increase productivity.
- Active Learning
Active Learning will be enhanced by AI. Develop expertise in using AI tools for this skill to increase productivity.
- Systems Analysis
Systems Analysis will be enhanced by AI. Develop expertise in using AI tools for this skill to increase productivity.
- Judgment and Decision Making
Judgment and Decision Making will be enhanced by AI. Develop expertise in using AI tools for this skill to increase productivity.
Task Breakdown
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.
Prepare data analysis listings and activity, performance, or progress reports.
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.
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.
Develop or select specific software programs for various research scenarios.
Train staff on technical procedures or software program usage.
Provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs.
| Task | Category | AI Capability | Risk Score | Time % |
|---|---|---|---|---|
| Design and validate clinical databases, including designing or testing logic checks. | Non-Routine Analytical | 55 | 49.0 | 10% |
| Process clinical data, including receipt, entry, verification, or filing of information. | Routine Cognitive | 85 | 83.2 | 14% |
| Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems. | Routine Cognitive | 85 | 83.2 | 10% |
| Develop project-specific data management plans that address areas such as coding, reporting, or transfer of data, database locks, and work flow processes. | Non-Routine Analytical | 55 | 49.0 | 8% |
| Monitor work productivity or quality to ensure compliance with standard operating procedures. | Routine Cognitive | 80 | 81.2 | 5% |
| Prepare appropriate formatting to data sets as requested. | Routine Cognitive | 90 | 85.2 | 5% |
| Prepare data analysis listings and activity, performance, or progress reports. | Routine Cognitive | 85 | 83.2 | 5% |
| Design forms for receiving, processing, or tracking data. | Non-Routine Analytical | 65 | 53.0 | 4% |
| Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols. | Non-Routine Interpersonal | 25 | 25.0 | 5% |
| Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data. | Routine Cognitive | 80 | 81.2 | 5% |
| Analyze clinical data using appropriate statistical tools. | Non-Routine Analytical | 65 | 53.0 | 5% |
| Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency. | Non-Routine Analytical | 60 | 51.0 | 3% |
| Develop technical specifications for data management programming and communicate needs to information technology staff. | Non-Routine Analytical | 65 | 53.0 | 4% |
| Write work instruction manuals, data capture guidelines, or standard operating procedures. | Routine Cognitive | 85 | 83.2 | 3% |
| Track the flow of work forms, including in-house data flow or electronic forms transfer. | Routine Cognitive | 85 | 83.2 | 3% |
| Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation. | Routine Cognitive | 85 | 83.2 | 3% |
| Supervise the work of data management project staff. | Non-Routine Interpersonal | 15 | 21.0 | 4% |
| Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices. | Non-Routine Analytical | 55 | 49.0 | 2% |
| Develop or select specific software programs for various research scenarios. | Non-Routine Analytical | 60 | 51.0 | 2% |
| Train staff on technical procedures or software program usage. | Non-Routine Interpersonal | 30 | 27.0 | 2% |
| Provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs. | Non-Routine Interpersonal | 35 | 29.0 | 2% |
Community Assessment
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