Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Clinical Research Coord.:
60.1%
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forClinical Research Coordinators
$167,220 median salary•9,200 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 6 sources.
Clinical Research Coordinators are labeled "Mostly Resilient" because while AI is taking over time-consuming tasks like scanning medical records and scheduling reminders, the heart of the job still requires a real human being. Things like getting informed consent from patients, explaining a study with empathy, and making careful clinical judgments simply cannot be handed off to an algorithm.
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Clinical Research Coordinators are labeled "Mostly Resilient" because while AI is taking over time-consuming tasks like scanning medical records and scheduling reminders, the heart of the job still requires a real human being. Things like getting informed consent from patients, explaining a study with empathy, and making careful clinical judgments simply cannot be handed off to an algorithm.
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Clinical Research Coord.
Updated Quarterly
How is AI changing Clinical Research Coord. jobs?
If you're thinking about becoming a Clinical Research Coordinator (CRC), here's the good news: AI is mostly stepping in as a helper, not a replacement. Recent commentary from the Association of Clinical Research Professionals argues that AI is reshaping the CRC role toward a more data-driven, strategic function while preserving core skills in patient care and clinical judgment, largely by taking over the most tedious paperwork tasks. In practice, AI tools now scan electronic medical records to flag eligible trial participants faster and more accurately than manual review [1], automate visit reminders, and generate schedule trackers.
Cleveland Clinic, for example, has rolled out Dyania Health's Synapsis AI across its health system to scan unstructured clinician notes and flag eligible patients faster than manual pre-screening [2], reducing site workload. A senior AI leader at Thermo Fisher recently predicted in Applied Clinical Trials that virtually all clinical trial roles will land between levels one and three on an augmentation scale within two years [3]—meaning assistance, not replacement. Tasks like informed consent, taking vitals, and empathetic patient communication remain firmly human.
Sources
How fast is AI adoption growing for Clinical Research Coord.?
Adoption is moving quickly because the field is under real pressure. Healthcare Innovation reports that 85% of trials fail to recruit enough patients and turnover for patient-facing research staff has climbed to between 35% and 61% [4], so sponsors are hungry for tools that ease workload. Regulators are supportive too—the FDA opened a Request for Information in April 2026 for an AI-Enabled Optimization of Early-Phase Clinical Trials Pilot Program [5] to test AI in recruitment and safety monitoring.
Still, adoption faces speed bumps: strict HIPAA and FDA rules, worries about AI "confabulations," and the need to keep a human-in-the-loop for consent and safety mean CRCs will remain essential trusted guides for patients well into the future.
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 gave this role a 60.1% AI Resilience Score, which puts it in "Mostly Resilient" territory. AI is already handling real work here: tools like Dyania Health's Synapsis AI scan unstructured clinical notes to flag trial-eligible patients far faster than manual review [2], and automation is taking over visit reminders and scheduling. A senior AI leader at Thermo Fisher predicted that virtually all clinical trial roles will land at augmentation levels, not replacement [3]. That tracks with what we see.
What stays human is significant. Informed consent, taking vitals, and the kind of empathetic communication that keeps patients enrolled and trusting the process cannot be handed off to software. Strict HIPAA and FDA rules also require a human in the loop for safety and consent decisions. The FDA even opened a formal pilot program in 2026 to explore AI in early-phase trials [5], which signals regulatory engagement, not a green light to cut staff.
Demand is holding up too. With trial recruitment failing at high rates and staff turnover climbing sharply [4], sponsors need skilled coordinators more than ever. AI is easing the burden, not eliminating the role.
Sources
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Latest AI news for Clinical Research Coord.
These articles highlight the transformative role of AI in clinical research and its implications for Clinical Research Coordinators. For instance, the piece on ASCO and Ryght AI demonstrates how machine learning can optimize site selection, freeing coordinators to focus on patient engagement and study execution. Another article discusses AI's potential to automate tedious tasks, suggesting coordinators will increasingly collaborate with intelligent systems. Embracing AI tools can enhance efficiency and effectiveness, equipping coordinators to thrive in a rapidly evolving field and fostering a sense of resilience as they adapt to new technologies.
When AI Picks Your Site, Execution Still Happens in the Building
www.clinicaltrialvanguard.com • 6/3/2026
ASCO and Ryght AI are using machine learning to select breast cancer trial sites. Here's what that means for the coordinators who actually...
Free Webinar: AI-Powered Clinical Data Management: Tools, Careers, Future Scope & Emerging Trends (2026)
www.biotecnika.org • 4/23/2026
Join a free webinar on AI in Clinical Data Management. Learn tools, careers, trends & skills needed to get hired in 2026. Register now!
Is Artificial Intelligence Coming for Clinical Research?
www.appliedclinicaltrialsonline.com • 11/25/2025
As AI adoption accelerates across clinical research, clear distinctions between AI agents, AI teammates, and integrated intelligence are...
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.
A New Beginning: The Effect of Artificial Intelligence on Clinical Trials, Medicine Creation
www.appliedclinicaltrialsonline.com • 12/13/2024
As the use of artificial intelligence (AI) has greatly accelerated in recent years, AI has been moving to reshape the clinical trial...
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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Employment & Wage Data
Median Wage
$167,220
Jobs (2025)
112,200
Growth (2025-35)
+8.2%
Annual Openings
9,200
Education
Bachelor's degree
Experience
5 years or more
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Perform specific protocol procedures such as interviewing subjects, taking vital signs, and performing electrocardiograms.
2
Oversee subject enrollment to ensure that informed consent is properly obtained and documented.
3
Dispense medical devices or drugs, and calculate dosages and provide instructions as necessary.
4
Inform patients or caregivers about study aspects and outcomes to be expected.
5
Confer with health care professionals to determine the best recruitment practices for studies.
6
Solicit industry-sponsored trials through contacts and professional organizations.
7
Instruct research staff in scientific and procedural aspects of studies including standards of care, informed consent procedures, or documentation procedures.
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.
