Clinical Data Managers
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 42/100. This occupation has higher AI displacement risk than 84% of all analyzed occupations. Of 21 analyzed tasks, 5 are highly automatable, particularly routine cognitive tasks. Strong protective factors — including social intelligence, creativity, or regulatory barriers — significantly reduce effective risk.
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.
AI-Augmented Skills (7)
Recommended Courses
Courses matched to Clinical Data Managers skill gaps, ranked by relevance to your displacement risk profile.
Get personalized recommendations. Answer a few questions about your experience and skills to get course suggestions tailored specifically to you.
Upskill to Reduce Risk
Courses addressing your most AI-vulnerable skills
SQL Fundamentals Skill Track
by DataCamp
Estimated Impact
AI-Augmentation Tools
Learn to work alongside AI and boost your productivity
Creative Writing Specialization
by Wesleyan University
Estimated Impact
Strengthen Your Edge
Double down on skills AI can't replicate
Leading People and Teams Specialization
by University of Michigan
Estimated Impact
We may earn a commission when you enroll through our links, at no extra cost to you. This helps fund the Takeover Tracker.
Risk reduction and salary impact are estimates based on skill gap analysis, course relevance, and labor market data. Actual results vary by individual circumstance.
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
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% |
Protective Factors
Total protective discount: 28.8%
Essential Soft Skills
Traits that are hard for AI to replicate
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
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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.
- Leadership
Leadership is AI-resistant — strengthening this skill provides durable career protection.
- Adaptability/Flexibility
Adaptability/Flexibility is AI-resistant — strengthening this skill provides durable career protection.
- 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.
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.
- Monitoring
Monitoring 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.
- 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.
Score History
Risk score over 3 scoring runs
overall change