Now is the time to fix the clinical research workforce crisis

The article addresses an urgent crisis in the clinical research workforce, particularly among site-based clinical research professionals (CRPs) such as coordinators, research nurses, and regulatory staff (excluding principal investigators). In the context of broader calls to reform the clinical research enterprise to better translate scientific advances into patient benefit, the authors highlight that workforce fragility is a foundational barrier. The COVID-19 pandemic amplified pre-existing shortages and turnover, revealing a widening gap between supply and demand for competent staff. Framed primarily from a U.S. perspective, the paper aims to analyze the scope, origins, and accelerating drivers of the workforce crisis and to indicate where systemic solutions may lie.

The authors situate the crisis within a history of structural issues: growth of outsourcing and reliance on contingent labor more than a decade ago, limited recognition of CRPs as key stakeholders, and a lack of professional identity and infrastructure for the clinical research profession. They note minimal attention to CRPs in major vision-setting documents (e.g., National Academies' report focusing on PIs), absence of recognition by the U.S. Bureau of Labor & Statistics, scarce mention in STEM and nursing curricula, and omission from federal workforce projections. Prior literature and reports describe inconsistent job titles and role definitions across institutions, a Catch-22 of experience requirements that block entry, long time-to-hire relative to other sectors, and compensation constraints at academic medical centers. The review also references increasing trial complexity, growth in decentralized trial models demanding new skills, and the importance of diversifying the patient-facing workforce to improve trial representativeness.

• Severe supply-demand imbalance: For every experienced clinical research coordinator seeking work, there are approximately 7 job postings; for clinical research nurses, 1:10; for regulatory affairs professionals, 1:35.
• Projected growth: U.S. job market for clinical research coordinators predicted to grow by 9.9% (2016–2026).
• Turnover and resignation: CRPs with 5–10 years of tenure have a resignation rate 60% higher than in 2020; patient-facing CRP turnover has risen to 35%–61%; a National Cancer Institute site in Michigan reported a 40% turnover rate among clinical research nurses (2019–2021).
• Operational impact: 95% of cancer centers report staffing issues; trial accrual rates down 20% since January 2020; quality, compliance, and data integrity are at risk.
• Hiring timelines: Time-to-fill for clinical research coordinators at one academic medical center was 55–75 days, exceeding the healthcare average (49 days) and overall U.S. industry average (36 days).
• Economic burden: Estimated cost to replace a clinical research coordinator is $50,000–$60,000, not including lost productivity or burnout costs to remaining staff.
• Structural constraints: Academic medical centers face pay ceilings tied to stagnant NIH grant values over 15–20 years, undermining retention.
• Increasing trial complexity: Phase 3 trials have seen a threefold increase in data points over the past decade, with rises in protocol deviations and substantial amendments across phases.
• Technology and DCTs: Decentralized clinical trials (DCTs) grew by 28% in 2022 vs 2021, with nearly 30% of new job postings deviating from traditional roles, signaling demand for new skills and roles.
• Diversity gap: Workforce diversity, especially among patient-facing CRPs, remains insufficient, hindering recruitment of underrepresented populations and generalizability of findings.
• Demonstrated mitigation: Adoption of competency-based frameworks (e.g., Duke’s JTF-based job classifications and career ladder) enabled a 30% reduction in employee turnover.

The findings underscore that the clinical research enterprise’s ambitious reform agenda is untenable without a stable, skilled, and adequately resourced workforce. The documented shortages, high turnover, and structural barriers directly impede trial activation, recruitment, conduct quality, compliance, and data integrity, thereby slowing medical progress. The increasing complexity of protocols and expansion of decentralized models amplify the demand for specialized competencies while stressing already constrained site operations. Furthermore, inadequate workforce diversity undermines equitable participant engagement and the external validity of trial results. Addressing these issues aligns with the broader goal of strengthening the evidence generation system: targeted, systemic workforce strategies can restore operational capacity, enhance trial quality, and support timely delivery of innovations to patients.

The paper calls for systemic, enterprise-wide solutions to regenerate and strengthen the clinical research workforce. Six key imperatives for workforce revitalization have been identified through cross-sector collaborations, with a cornerstone being a global standard for training and qualification. The Joint Task Force for Clinical Trial Competency framework provides a widely adopted foundation to harmonize roles, define entry pathways, and support professional development, career progression, and equitable remuneration. Demonstrations (e.g., at Duke) show competency-based infrastructures can reduce turnover. The authors advocate universal adoption of competency-based frameworks across industry and academia, new onboarding and mentorship paradigms for early-career professionals, sustainable financial models to promote retention, clearer professional identity and visibility for CRPs, and committed thought leadership and funding. They conclude that fixing the evidence generation system requires first fixing the workforce through coordinated, top-down and grassroots cultural change.

The analysis is presented primarily from a U.S. perspective, while acknowledging the problem is global. As a perspective piece without a formal empirical methodology, it synthesizes existing reports and indicators rather than presenting new primary data. Reliable statistics on the clinical research workforce are difficult to obtain due to inconsistent job titles and role definitions and the lack of official recognition of the profession, which may limit precision and generalizability of specific estimates.