Mostly Resilient
Last Update: 6/19/2026
AI Resilience Score for Clinical Research Coord.:
61.9%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forClinical Research Coordinators
$161,180 median salary•8,500 annual openings•SOC Code: 11-9121.01
Clinical Research Coordinators are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Clinical Research Coordinators are labeled "Mostly Resilient" because the heart of their work involves deeply human skills that AI simply cannot replicate, like building trust with patients, guiding them through complex consent processes, and keeping them engaged in long-term trials. AI is taking over time-consuming tasks like scanning patient records for trial eligibility (one tool reviewed nearly 1,500 charts in a single week), but this actually frees coordinators to focus more on the meaningful, relationship-driven work that makes trials succeed.
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Clinical Research Coordinators are labeled "Mostly Resilient" because the heart of their work involves deeply human skills that AI simply cannot replicate, like building trust with patients, guiding them through complex consent processes, and keeping them engaged in long-term trials. AI is taking over time-consuming tasks like scanning patient records for trial eligibility (one tool reviewed nearly 1,500 charts in a single week), but this actually frees coordinators to focus more on the meaningful, relationship-driven work that makes trials succeed.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Clinical Research Coord.
Updated Quarterly
How is AI changing Clinical Research Coord. jobs?
Right now, AI is mostly augmenting Clinical Research Coordinators (CRCs) rather than replacing them — it's taking over the most repetitive paperwork while leaving the human-facing parts alone. The Association of Clinical Research Professionals notes that AI is rapidly reshaping clinical research, with some of its most impactful applications emerging in patient pre-screening and recruitment, where by analyzing electronic health records at scale, AI can match potential trial participants to complex eligibility criteria in a fraction of the time required for manual review. ACRP is clear that these efficiencies don't shrink the human role [1] — instead, they expand capacity for coordinators to focus on high-value activities such as patient communication, trust-building, and long-term retention strategies.
A new Cleveland Clinic study [2] showed an AI screening tool reviewed 1,476 patient charts in one week with 96.2% accuracy, helping enroll seven patients in six days versus 10 over 90 days using traditional methods. The American Hospital Association reports that AI startups are reshaping trial workflows [3], with patient recruitment cycles "shrinking to days" and 80% of analyzed companies using AI to automate inefficiencies.
Sources
How fast is AI adoption growing for Clinical Research Coord.?
Adoption is moving fast but unevenly. Economically, the case is strong — Deloitte argues [4] that suboptimal patient selection and retention drive up R&D costs, making AI a "critical business imperative." Regulators are leaning in too: in April 2026 the FDA announced proof-of-concept real-time clinical trials [5] with AstraZeneca and Amgen, plus a pilot program for AI-enabled early-phase trials. But brakes still exist.
Research.com's 2026 outlook [6] notes that ethical oversight, informed consent, and nuanced human judgment remain resistant to automation — exactly the lower-automation tasks O*NET lists for CRCs (consent at 18%, recruitment conferral at 15%). If you're starting in this field, the encouraging news is that the boring chart-mining is being offloaded, freeing you to do the human work — supporting patients, building site relationships, and overseeing AI itself — that the field still needs.
Sources
Will AI replace Clinical Research Coord.?
No. We don't think AI will replace Clinical Research Coordinators, though we do expect the job to change.
We give this role a 61.9% AI Resilience Score, and the reason is straightforward: the parts of the job that matter most are stubbornly human. Informed consent, patient trust, and site relationships require judgment and empathy that AI simply cannot replicate. Research.com's 2026 outlook confirms that ethical oversight and nuanced human judgment remain resistant to automation, and those are core CRC responsibilities.
What AI is doing right now is handling the tedious parts. A Cleveland Clinic study found an AI screening tool reviewed over 1,400 patient charts in a single week with 96.2% accuracy, dramatically speeding up enrollment [2]. The Association of Clinical Research Professionals is clear that these gains expand capacity for coordinators rather than shrink their role, freeing them for patient communication and retention work [1]. The FDA is also actively piloting AI-enabled trial designs with major pharmaceutical companies, which signals more change ahead [5].
The honest picture is this: if you go into clinical research, you will work alongside AI tools. The coordinators who thrive will be the ones who oversee those tools, catch their errors, and do the human work no algorithm can replicate.
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Latest AI news for Clinical Research Coord.
These articles highlight how AI is transforming clinical research, making it vital for Clinical Research Coordinators to adapt. For instance, AI can streamline candidate matching in trials, as seen in Memorial Sloan Kettering's implementation, enhancing efficiency and accuracy. Additionally, the ability of AI to automate tedious tasks means coordinators can focus on more strategic roles, fostering AI resilience in their careers. Embracing these innovations ensures that future coordinators remain essential in a rapidly evolving landscape.
AI in Clinical Trials: Benefits and Innovations
www.salesforce.com • 6/6/2026
AI is improving every stage of the clinical trial process. Learn where it delivers value and how today's teams are putting it to work in...
Memorial Sloan Kettering innovates clinical trials with AI
www.healthcareitnews.com • 11/25/2025
The cancer center's first test of the technology matched all of its manually identified clinical trials candidates and found additional...
AI agents are coming to pharma. Here’s what it means for clinical trials.
www.pharmavoice.com • 9/17/2025
The high-tech helpers could autonomously navigate tedious tasks — but have to be carefully implemented.
The 50-Year Technology Drought in Clinical Trials: How AI Teammates Will Finally Bring Us Into the Modern Era
www.appliedclinicaltrialsonline.com • 7/11/2025
Why a fundamental reimagining of how clinical studies operate is still necessary to achieve a true paradigm shift—and shed the cycle of...
5 Ways AI Is Changing Clinical Research — And How To Embrace It
www.clinicalleader.com • 5/15/2025
By Bryce Nichols. digital effect, dynamic transitions, high-tech visual-GettyImages-2198367989. Clinical research isn't preparing for AI;...
More Career Info
Career: Clinical Research Coordinators
They organize and manage medical studies by keeping track of participants, collecting data, and ensuring everything follows the rules to find better ways to treat diseases.
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Similar Careers
Employment & Wage Data
Median Wage
$161,180
Jobs (2024)
104,300
Growth (2024-34)
+3.7%
Annual Openings
8,500
Education
Bachelor's degree
Experience
5 years or more
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Interpret protocols and advise treating physicians on appropriate dosage modifications or treatment calculations based on patient characteristics.
2
Direct the requisition, collection, labeling, storage, or shipment of specimens.
3
Order drugs or devices necessary for study completion.
4
Register protocol patients with appropriate statistical centers as required.
5
Confer with health care professionals to determine the best recruitment practices for studies.
6
Oversee subject enrollment to ensure that informed consent is properly obtained and documented.
7
Dispense medical devices or drugs, and calculate dosages and provide instructions as necessary.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
