Mostly Resilient

Last Update: 5/19/2026

AI Resilience Score for Clinical Research Coord.:

61.2%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

High

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient clinical research coordination is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For clinical research coordinators, five of seven sources had data, with Microsoft and Adaptive Capacity missing. The three sources measuring AI exposure all agreed: medium exposure, meaning coordinators still own the human side of managing participants and keeping studies on track. Solid pay and mobility pushed economic opportunity high, landing this role at "Mostly Resilient" with medium confidence.

AI Resilience Report forClinical Research Coordinators

$161,180 median salary8,500 annual openingsSOC 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 — building trust with patients, guiding people through the informed consent process, and keeping participants engaged in trials — requires genuine human connection that AI simply can't replicate. AI is actually making the job better in many ways, taking over time-consuming tasks like scanning thousands of patient charts to find trial candidates, which frees coordinators to focus on the meaningful, people-centered work they're best at.

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This role is mostly resilient

Clinical Research Coordinators are labeled "Mostly Resilient" because the heart of their work — building trust with patients, guiding people through the informed consent process, and keeping participants engaged in trials — requires genuine human connection that AI simply can't replicate. AI is actually making the job better in many ways, taking over time-consuming tasks like scanning thousands of patient charts to find trial candidates, which frees coordinators to focus on the meaningful, people-centered work they're best at.

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Analysis of Current AI Resilience

Clinical Research Coord.

Updated Quarterly

Analysis
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State of Automation

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.

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AI Adoption

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.

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Will AI replace Clinical Research Coord.?

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.

Our scorecard gives this role a 61.2% AI Resilience Score, landing it in "Mostly Resilient" territory. That makes sense when you look at what AI is actually doing in clinical trials right now. It is handling the repetitive, data-heavy work: scanning thousands of patient records to match people to eligibility criteria, flagging candidates faster than any human team could. A Cleveland Clinic study found an AI tool reviewed 1,476 charts in one week with 96.2% accuracy, cutting enrollment time dramatically [2]. The American Hospital Association reports that recruitment cycles are shrinking to days at sites using these tools [3].

But speed at chart-mining is not the same as doing the whole job. The tasks that resist automation are the ones CRCs are most essential for: walking a nervous patient through informed consent, building trust over a long trial, and keeping people enrolled when life gets complicated. Regulators and ethicists are clear that human judgment stays central here [6]. The FDA is actively piloting AI-enabled trial designs [5], which signals growth in the field, not a shrinking workforce.

If you are considering this career, the honest picture is that the tedious parts are being offloaded to software. The human parts are becoming more visible and more valued.

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Latest AI news for Clinical Research Coord.

These articles highlight how AI is transforming the role of Clinical Research Coordinators by improving trial efficiency and participant matching. For instance, the study on AI-enhanced prescreening for oncology trials shows how technology can streamline eligibility criteria, making it easier for coordinators to enroll patients. Additionally, Memorial Sloan Kettering's AI implementation not only matched candidates but also identified new ones, emphasizing the potential for coordinators to expand participant pools. Embracing these advancements can enhance job effectiveness and foster resilience in a rapidly evolving career landscape.

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.

Parent 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

92% ResilienceSupplemental

Interpret protocols and advise treating physicians on appropriate dosage modifications or treatment calculations based on patient characteristics.

2

90% ResilienceSupplemental

Direct the requisition, collection, labeling, storage, or shipment of specimens.

3

88% ResilienceCore Task

Order drugs or devices necessary for study completion.

4

88% ResilienceSupplemental

Register protocol patients with appropriate statistical centers as required.

5

85% ResilienceCore Task

Confer with health care professionals to determine the best recruitment practices for studies.

6

82% ResilienceCore Task

Oversee subject enrollment to ensure that informed consent is properly obtained and documented.

7

82% ResilienceSupplemental

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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