Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Clinical Data Managers
Occupation · SOC 15-2051.02
Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends.
Also called: Clinical Data Management Director (CDM Director) · Clinical Data Management Manager (CDM Manager) · Clinical Data Manager · Data Management Manager · Clinical Informatics Manager · Data Deliverables Manager · Abstractor · Analyst · Application Analyst · Application Coordinator · Clinical Applications Director · Clinical Biostatistics Director
Job family: Computer and Mathematical Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-15-2051-02/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Market signal
Independent published positions, read together — not a forecast.
- Growing fast employment outlook (+33.5% by 2034)
- 23,400 openings/yr
- High AI exposure
- Median pay $112,590/yr
99th-percentile task overlap — yet about 23,400 openings a year (+33.5% projected, BLS) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) High | 95th | 1.0 | |
| AI assistant applicability (Microsoft) High | 98th | 0.4 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.3), with simple added tooling (β 0.6), and including AI-powered software (γ 1.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
How AI is actually used in this job
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices. | 14.0% | |
| Prepare appropriate formatting to data sets as requested. | 7.6% | |
| Prepare data analysis listings and activity, performance, or progress reports. | 2.5% | |
| Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation. | 1.9% | |
| Analyze clinical data using appropriate statistical tools. | 1.8% | |
| Design forms for receiving, processing, or tracking data. | 1.2% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Growing fast · +33.5% by 2034 |
| Projected annual openings | 23,400 |
| Employment 2024 → 2034 | 245,900 → 328,300 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Tasks
All 21 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Design and validate clinical databases, including designing or testing logic checks. Core · importance 4.5
- Process clinical data, including receipt, entry, verification, or filing of information. Core · importance 4.4
- Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems. Core · importance 4.3
- Develop project-specific data management plans that address areas such as coding, reporting, or transfer of data, database locks, and work flow processes. Core · importance 4.3
- Monitor work productivity or quality to ensure compliance with standard operating procedures. Core · importance 4.0
- Prepare appropriate formatting to data sets as requested. Core · importance 4.0
- Design forms for receiving, processing, or tracking data. Core · importance 4.0
- Prepare data analysis listings and activity, performance, or progress reports. Core · importance 4.0
- Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols. Core · importance 3.8
- Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data. Core · importance 3.7
- Analyze clinical data using appropriate statistical tools. Core · importance 3.7
- Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency. Core · importance 3.7
- Develop technical specifications for data management programming and communicate needs to information technology staff. Core · importance 3.6
- Write work instruction manuals, data capture guidelines, or standard operating procedures. Core · importance 3.6
- Track the flow of work forms, including in-house data flow or electronic forms transfer. Core · importance 3.5
- Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation. Core · importance 3.4
- Supervise the work of data management project staff. Core · importance 3.4
- Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices. Core · importance 3.3
- Develop or select specific software programs for various research scenarios. Supplemental · importance 3.1
- Train staff on technical procedures or software program usage. Core · importance 3.1
- Provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs. Supplemental · importance 2.8
Work activities
- Update knowledge about emerging industry or technology trends.
- Communicate project information to others.
- Prepare data for analysis.
- Evaluate utility of software or hardware technologies.
- Recommend changes to improve computer or information systems.
- Develop procedures for data management.
- Design software applications.
- Manage documentation to ensure organization or accuracy.
- Document operational procedures.
- Prepare instruction manuals.
- Collect archival data.
- Train others in computer interface or software use.
- Supervise information technology personnel.
- Prepare analytical reports.
- Evaluate data quality.
- Monitor operational activities to ensure compliance with regulations or standard operating procedures.
- Analyze data to identify or resolve operational problems.
- Create databases to store electronic data.
- Collaborate with others to determine design specifications or details.
- Analyze health-related data.
- Develop procedures for data entry or processing.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Abilities
| Deductive Reasoning | 4.1 | |
| Information Ordering | 4.1 | |
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Written Expression | 3.9 | |
| Problem Sensitivity | 3.9 | |
| Inductive Reasoning | 3.9 | |
| Near Vision | 3.9 | |
| Speech Recognition | 3.8 | |
| Speech Clarity | 3.8 | |
| Mathematical Reasoning | 3.4 | |
| Category Flexibility | 3.3 | |
| Fluency of Ideas | 3.1 | |
| Number Facility | 3.1 | |
| Flexibility of Closure | 3.1 | |
| Originality | 3.0 |
Knowledge
| English Language | 4.1 | |
| Computers and Electronics | 4.0 | |
| Customer and Personal Service | 3.7 | |
| Mathematics | 3.2 | |
| Medicine and Dentistry | 3.0 |
Essential skills
| Critical Thinking | 4.0 | |
| Reading Comprehension | 3.9 | |
| Active Listening | 3.9 | |
| Speaking | 3.9 | |
| Writing | 3.8 | |
| Active Learning | 3.6 | |
| Monitoring | 3.6 | |
| Mathematics | 3.5 |
Transferable skills
| Complex Problem Solving | 3.5 | |
| Coordination | 3.4 | |
| Time Management | 3.4 | |
| Programming | 3.3 | |
| Judgment and Decision Making | 3.3 | |
| Systems Analysis | 3.3 | |
| Social Perceptiveness | 3.1 | |
| Systems Evaluation | 3.1 | |
| Instructing | 3.0 | |
| Management of Personnel Resources | 3.0 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 42.
Tools & technology
Showing the top 40 of 55.
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 4 — Job Zone Four: Considerable Preparation Needed
- Education
- Most of these occupations require a four-year bachelor's degree, but some do not.
- Typical entry-level education
- Bachelor's degree · BLS, the typical path — not a requirement
- Related experience
- A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
- Preparation level
- SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.
What to study: Biological and Biomedical Sciences , Business, Management, Marketing, and Related Support Services , Computer and Information Sciences and Support Services , Mathematics and Statistics , Multi/Interdisciplinary Studies , Physical Sciences , Social Sciences . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| Bachelor's Degree | 85.0% | |
| Associate's Degree (or other 2-year degree) | 5.0% | |
| Post-Baccalaureate Certificate | 5.0% | |
| Master's Degree | 5.0% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Conventional | 6.6 | |
| Investigative | 5.7 | |
| Enterprising | 3.3 | |
| Social | 2.8 |
Interest areas
| Office Work | 5.4 | |
| Mathematics/Statistics | 5.3 | |
| Information Technology | 5.0 | |
| Health Care Service | 4.0 | |
| Medical Science | 3.9 | |
| Management/Administration | 3.6 | |
| Life Science | 3.1 | |
| Accounting | 2.4 |
Work styles
| Dependability | 5.0 | |
| Attention to Detail | 4.0 | |
| Integrity | 3.0 | |
| Cautiousness | 2.4 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $63,650 |
| 25th percentile | $82,630 |
| Median (50th) | $112,590 |
| 75th percentile | $155,810 |
| 90th percentile | $194,410 |
| People employed | 233,440 |
Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 15-2051), not for the specialty alone.
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Professional, Scientific, and Technical Services · Sector | 69,410 | $117,020 |
| Finance and Insurance · Sector | 41,020 | $123,570 |
| Information · Sector | 26,840 | $137,600 |
| Management of Companies and Enterprises · Sector | 26,100 | $126,940 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 14,390 | $100,780 |
| Health Care and Social Assistance · Sector | 13,070 | $87,870 |
| Manufacturing · Sector | 9,240 | $118,080 |
| Educational Services · Sector | 8,700 | $79,310 |
| Wholesale Trade · Sector | 7,680 | $110,930 |
| Direct Health and Medical Insurance Carriers · National industry | 6,620 | $104,950 |
| Temporary Help Services · National industry | 5,290 | $99,840 |
| Engineering Services · National industry | 3,580 | $105,400 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Direct Health and Medical Insurance Carriers · National industry | 9.74× | 6,620 |
| Research and Development in the Social Sciences and Humanities · National industry | 8.04× | 740 |
| Management of Companies and Enterprises · Sector | 6.14× | 26,100 |
| Information · Sector | 6.1× | 26,840 |
| Finance and Insurance · Sector | 4.35× | 41,020 |
| Professional, Scientific, and Technical Services · Sector | 4.26× | 69,410 |
| Engineering Services · National industry | 2.05× | 3,580 |
| Insurance Agencies and Brokerages · National industry | 1.86× | 2,790 |
Related occupations
Part of the Digital Technology , Financial Services and Marketing & Sales career clusters.
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- Regulatory Affairs Specialists · 13-1041.07 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Clinical Data Managers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- Bachelor's degree · typical entry level
- Job zone 4 — Job Zone Four: Considerable Preparation Needed · preparation tier
- Biological and Biomedical Sciences · field of study
- Business, Management, Marketing, and Related Support Services · field of study
Zoom out
See where this work sits in the bigger picture.
Write a report on thisheadline · factoids · citation
Clinical Data Managers show 99th-percentile AI task overlap — and about 23,400 annual U.S. openings
- Clinical Data Managers rank in the 99th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 23,400 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be growing fast (+33.5%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $112,590, across about 233,440 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Clinical Data Managers show 99th-percentile AI task overlap — and about 23,400 annual U.S. openings • Clinical Data Managers rank in the 99th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 23,400 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be growing fast (+33.5%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $112,590, across about 233,440 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Clinical Data Managers". https://singulariki.com/roles/role-15-2051-02 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Clinical Data Managers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-15-2051-02
APA
Singulariki. (2026). Clinical Data Managers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-15-2051-02
BibTeX
@misc{singulariki-role-15-2051-02,
title = {Clinical Data Managers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-15-2051-02}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.