Innovate your clinical trial operations and verification science. Sponsors, contract research organisations (CROs), biotech and pharma companies across the U.S. are consistently designing new protocols, digital patient‑engagement workflows, decentralised trial models and analytics‑driven endpoints. Many of these initiatives satisfy the criteria for the federal R&D Tax Credit under IRC §41 (and often corresponding state‑level credits).
Examples of qualifying activities in clinical trial operations
- Protocol & Design Innovation Developing adaptive trial arms, decentralised site models, novel biomarker or digital‑endpoint tracking, side‑by‑side validation of alternative designs.
- Digital Monitoring & Data Capture Integrating wearable sensors, remote monitoring platforms, e‑CRF upgrades, real‑time analytics for patient‑data streams, patient‑engagement apps.
- Analytics & Simulation Developing or validating patient‑stratification algorithms, recruitment‑simulation models, predictive retention modelling, subgroup‑analysis methodologies.
- Recruitment & Retention Experiments Testing new digital‑engagement workflows, remote consenting platforms, decentralised trial recruitment pilots, side‑by‑side conversion rate comparisons.
- Regulatory Submission Support & Emerging Modalities Piloting trials for new therapeutic modalities (gene therapy, advanced biologics), creating analytics and monitoring workflows for novel endpoints, conducting side‑by‑side comparator studies.
- Quality, Risk & Trial‑Operations Optimisation Automating monitoring workflows, predictive risk monitoring, side‑by‑side manual vs automated monitoring trials, pilot runs of adaptive data‑flow architectures.
What qualifies as R&D in Clinical Trials?
To qualify, your clinical trial activities must:
- Aim at a permitted purpose — such as a new or improved trial design, adaptive randomisation strategy, digital‑patient monitoring system, or novel endpoint analytics.
- Tackle technical uncertainty — for example: “Will this AI‑driven patient‑recruitment algorithm achieve statistically meaningful enrichment?”, “Can the remote‑monitoring sensors maintain valid data integrity across sites?”, “Can an adaptive arm safely reduce cycle‑time while still meeting regulatory acceptability?”
- Use a process of experimentation — pilot cohorts, side‑by‑side arms, simulations of recruitment/retention, successive protocol refinements, system integrations and analytic benchmarking.
- Be technological in nature, grounded in biostatistics, data science, clinical pharmacology, regulatory science, sensor/telehealth engineering or trial operations engineering.
Qualified Research Expenses (QREs)
Roles commonly involved in qualifying activities
- Principal Investigators, Clinical Scientists, Biostatisticians
- Data Scientists, Analytics Engineers, Digital‑Patient‑Engagement Specialists
- Study Operations Managers, Trial Coordinators, Recruitment/Retention Specialists
- Sensor/Device Engineers, Telehealth Platform Engineers
- Regulatory/Clinical‑Operations Engineers, Pilot‑study/benchmark‑study Leads
What does not qualify
- Routine trial execution or site monitoring under established protocols without innovation or experimentation
- Standard patient‑recruitment or data entry operations that do not involve new methods or technical uncertainty
- Sales, marketing, general management, administrative tasks
- Land acquisition, standard site build‑outs or capital improvements not tied to a documented research/experiment process
Compliance and Documentation
Following the One Big Beautiful Bill Act (OBBBA) signed July 4, 2025, §174 now allows immediate expensing of domestic research expenses for tax years beginning on or after January 1, 2025. Taxpayers may also elect optional amortization under new §174A. Foreign research expenses must still be amortized over 15 years. This is separate from the §41 credit but impacts overall tax planning.
The regulatory environment for R&D requires robust documentation. Key records include:
- Protocol briefs, design hypotheses, versions and amendments reflecting experimentation and iteration
- Pilot‑run logs, recruitment/sensor/data‑platform trial summaries, side‑by‑side comparisons of alternative methods
- Analytics simulation reports, model‑validation logs, sensor/data‑capture performance comparisons
- Time‑tracking records for R&D staff and trial personnel, payroll tied to research activities
- Materials/consumables logs consumed during trial pilots, device/test‑kit consumption, iteration logs Even “failed” trials, abandoned designs or iteration logs provide evidence of experimentation. These records support the four‑part test for R&D: permitted purpose, technical uncertainty, process of experimentation and technological nature.
Frequently Asked Questions
Yes — if they design or pilot new trial protocols, digital or sensor‑enabled monitoring systems, adaptive trial designs, or novel data‑analytics workflows rather than simply executing standard trials.
Wages of scientists/engineers involved in research activities; consumables or materials used in pilot study/monitoring kits; software/cloud platforms used in analytics or monitoring; third‑party R&D contracts (e.g., pilot cohorts, analytics vendors).
Activities in Phase I through IV may qualify provided they involve new methods, analytics, digital monitoring, recruitment/retention innovations or process improvements—not just routine trial conduct.
Standard trial execution under an established protocol, routine patient‑monitoring without innovation, general operations, marketing, administrative or management tasks.
Maintain detailed trial‑design/hypothesis logs, pilot‑cohort trial summaries, data‑platform integration logs, employee time by project segment, material/test‑kit consumption in experimentation, version histories of protocols and monitoring workflows.
Next Steps
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