Professional Biostatistics Training & Capacity Building Services

Building statistical expertise within your organization is essential for making informed, data-driven decisions.

As a specialized biostatistics trainer, I help teams, researchers, and organizations develop the statistical skills needed to excel in their work.

Whether you’re looking to upskill your staff, meet regulatory requirements, or build internal statistical capabilities, my training programs deliver practical knowledge that translates directly to improved performance.

Comprehensive Training & Development Services

Transform your team’s statistical capabilities with targeted, practical training solutions.

My professional development programs help organizations build internal expertise while ensuring compliance with industry standards.

Why Choose Professional Training Services?

Investing in statistical training delivers measurable returns across your organization.

The Training Process

My development programs follow a structured approach for maximum effectiveness.

For urgent questions, my on-demand consultation service offers quick, cost-saving solutions.

Case Studies

Don’t Just Take My Word For It…

The positive experiences of my happy collaborators showcased through their glowing testimonials, serve as powerful proof of trustworthiness and the impact of the results I deliver. These testimonials offer real-life examples of how I’ve helped research projects succeed. Here are some of their thoughts:

5/5

"He has a deep understanding of statistics, yet is able to skillfully explain complex concepts to people with little-to-no background in statistics both in French and English."

Elsa Brunet-Ratnasginham

Post-doc, UCSF

5/5

"I had never before worked with a biostatistician who speaks the same language as me! [...] Personally, our collaboration has allowed me to reconcile with statistics."

Manon Nayrac

Post-doc, CRCHUM

5/5

"I highly recommend Justin and his team for your data processing needs in order to have a more robust statistical model than the tests we are accustomed to conducting as biologists!"

Gérémy Sannier

Ph.D candidate, CRCHUM

5/5

"Thanks to him, statistics appeared to me as solutions rather than obstacles."

Mathieu Dubé

Research Associate, CRCHUM

Justin Belair - Causal Inference Expert

My Statistics and Causal Inference Expertise

As a university-level statistics lecturer with a substantial LinkedIn following, scientists from all over the world come to me for my unique combination of academic excellence and practical experience in statistics and causal inference.

I’ve applied causal inference methods in varied settings in both academia and industry: in biomedical sciences such as nephrology, immunology, neuroscience, virology, occupational therapy, epidemiology, dermatology, psychiatry, and oncology; in natural sciences such as agronomy, ecology, and zoology; and social sciences such as communication, and psychology. The list keeps on growing!

I am currently writing an advanced textbook that I hope will give a young generation of academic and industry researches the tools needed to grapple with the complexities of causal inference, and maybe even develop a passion for the subject!

Need to build statistical expertise? From basic concepts to advanced methodologies, I provide comprehensive training solutions that strengthen your team’s capabilities and drive organizational success.

Training Technologies & Platforms

Modern Learning Platforms

Using current educational technologies including virtual classrooms, interactive learning modules, and collaborative online environments.

Hands-On Software Training

Practical experience with industry-standard statistical software including R, SAS, Python, and specialized biostatistics packages.

Flexible Delivery Methods

Training options include in-person workshops, virtual sessions, self-paced online modules, and hybrid learning approaches.

Client Industries Served

My statistical consulting expertise extends beyond specific industries, serving clients in fields ranging from R&D in biotechnology and pharmaceuticals to researchers and Principal Investigators (PI) in academia.