Life Sciences & Medical Technology

Nearly 1 in 8 SR&ED claims come from Life Sciences and Medical Technology innovators pushing scientific boundaries.

What Qualifies?

Medical Device Development

Creating or improving devices where performance, reliability, safety, or regulatory requirements introduced technical uncertainty.

Formulation & Product Development

Testing ingredients, compounds, delivery methods, or manufacturing techniques where outcomes could not be determined in advance.

Diagnostic & Monitoring Technologies

Developing systems for measurement, monitoring, detection, or analysis that required technical advancement.

Biological & Clinical Process Improvements

Investigating methods to improve consistency, effectiveness, scalability, or safety in biological or healthcare applications.

Common Examples

Medical Devices

Orthopedic devices, monitoring systems, diagnostic equipment, and healthcare technologies.

Healthcare Software

Clinical communication systems, patient management platforms, and healthcare data solutions.

Product Formulations

Testing new ingredients, compounds, delivery systems, or manufacturing processes.

Laboratory & Testing Methods

Developing procedures to improve accuracy, reliability, or repeatability.

Top Misconceptions

Only groundbreaking discoveries qualify.

SR&ED supports advancement for your company — not just global breakthroughs.

If it’s regulated, it’s not SR&ED

Regulatory documentation doesn’t qualify — but the experimental work required to meet safety and performance standards often does.

Using known scientific methods disqualifies the work

Applying known methods to solve unknown technical problems is often exactly what SR&ED supports.

If the FDA or Health Canada approved it, it must not be experimental.

Approval often follows extensive experimental development — which may be eligible.

Failed projects don’t count.

Failures demonstrate uncertainty, they often strengthen the claim that R&D happened.

Industry-Specific Opportunities

Telehealth Providers

Real-time data accuracy improvement
Connectivity reliability experimentation
Patient data processing optimization

Medical Imaging Technology

Resolution and signal clarity enhancement
Hardware-software integration challenges
Performance optimization in clinical environments

Digital Health & Wearable Tech

Sensor accuracy under real-world variability
Embedded algorithm refinement
Device integration with clinical platforms

Biotechnology Companies

Strain engineering and biologic optimization
Fermentation yield and purification improvements
Scale-up challenges from lab to pilot production

Pharmaceuticals

New separation and sorting methods for higher recovery
Controlled-release and delivery innovation
Process validation under regulatory constraints

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Life Sciences & Med Tech