Share and intensity of work current AI systems can materially affect.
SOC 11-9121
Clinical Research Coordinators AI displacement risk
Electronic data capture, AI protocol review, and remote monitoring automate trial administration. Protocol compliance, patient safety oversight, site coordination, and regulatory documentation accountability keep coordinators central to drug development.
Likely potential for exposed tasks to move to software after workflow integration.
This occupation maps to the natural-sciences-managers SOC with clinical research coordination as its detailed variant. Trial complexity keeps growing, and someone must own protocol adherence and subject safety — the data tools assist that accountability.
Distribution
Where Clinical Research Coordinators sits across 620 tracked roles
Displacement pressure 40 — higher than 67% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
30 O*NET task statements matched to SOC 11-9121. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $167,220 (May 2025, US national). The latest BLS row matched SOC 11-9121.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Clinical Research Coordinators
SOC 11-9121 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 40/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Clinical Research Coordinators
The current evidence import matched 30 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks30
SOC11-9121
- Core task / ID 7209
Hire, supervise, or evaluate engineers, technicians, researchers, or other staff.
- Core task / ID 7207
Design or coordinate successive phases of problem analysis, solution proposals, or testing.
- Core task / ID 7205
Plan or direct research, development, or production activities.
- Core task / ID 7208
Review project activities and prepare and review research, testing, or operational reports.
- Core task / ID 7203
Confer with scientists, engineers, regulators, or others to plan or review projects or to provide technical assistance.
- Core task / ID 7204
Develop client relationships and communicate with clients to explain proposals, present research findings, establish specifications, or discuss project status.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Coordinate trial phases and protocols
Exposure 42, automation 19%, augmentation 66%.
O*NET evidence: Design or coordinate successive phases of problem analysis, solution proposals, or test... (ID 7207)
Schedule subjects and perform procedures
Exposure 36, automation 16%, augmentation 58%.
O*NET evidence: Schedule subjects for appointments, procedures, or inpatient stays as required by study... (ID 15612)
Prepare and review research reports
Exposure 60, automation 33%, augmentation 72%.
O*NET evidence: Review project activities and prepare and review research, testing, or operational repo... (ID 7208)
Ensure regulatory compliance
Exposure 44, automation 20%, augmentation 66%.
O*NET evidence: Develop or implement policies, standards, or procedures for the architectural, scientif... (ID 7211)
TaskExposureAutomationAugmentation
Coordinate trial phases and protocols4219%66%
Schedule subjects and perform procedures3616%58%
Prepare and review research reports6033%72%
Ensure regulatory compliance4420%66%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
ModerateClinical Research Manager
Training horizon: 3-6 months. Skill overlap 76. Wage preservation signal 108.
- Own multi-site trials
- Lead monitoring programs
- Manage regulatory submissions
adjacent role
ModerateRegulatory Affairs Specialist
Training horizon: 3-6 months. Skill overlap 62. Wage preservation signal 106.
- Learn submission pathways
- Prepare regulatory documents
- Track guideline changes
Comparison guides
Compare the next move before you commit
3-6 months
Clinical Research Coordinators to Clinical Research Manager
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Clinical Research Coordinators into Clinical Research Manager.
3-6 months
Clinical Research Coordinators to Regulatory Affairs Specialist
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Clinical Research Coordinators into Regulatory Affairs Specialist.
What the AI risk score means for Clinical Research Coordinators
The displacement pressure score for Clinical Research Coordinators is 40. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Prepare and review research reports carries 33% automation pressure, while Prepare and review research reports carries 72% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $167,220 (May 2025, US national). Employment context: Trial management role with e-clinical tooling growth. Typical education: Bachelor's degree in a scientific field; certification common.
Wage vulnerability is 36, while transition feasibility is 70. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Moderate displacement pressure
- E-clinical tools automate administration
- Safety oversight accountability persists
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Clinical Research Coordinators, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Protocol management
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Regulatory compliance
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Patient coordination
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Research documentation
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Clinical Research Manager, such as own multi-site trials.
- By 90 days, compare internal openings and external postings for Clinical Research Manager or Regulatory Affairs Specialist and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Clinical Research Coordinators
Will AI replace Clinical Research Coordinators?
Electronic data capture, AI protocol review, and remote monitoring automate trial administration. Protocol compliance, patient safety oversight, site coordination, and regulatory documentation accountability keep coordinators central to drug development. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Clinical Research Coordinators work are most exposed to AI?
Prepare and review research reports and Ensure regulatory compliance show the strongest automation pressure in this model. Prepare and review research reports and Coordinate trial phases and protocols are better treated as AI-augmented work.
What should Clinical Research Coordinators learn next?
Start with Protocol management, Regulatory compliance, Patient coordination. The most practical adjacent paths in this model are Clinical Research Manager and Regulatory Affairs Specialist.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureOECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics