Data Science & Machine Learning for Life Sciences

Transform your life sciences data into breakthrough discoveries and actionable insights.

As a specialized data science consultant, I help biotech companies, pharmaceutical organizations, and research institutions harness the power of artificial intelligence and machine learning to accelerate innovation and improve patient outcomes.

Whether you’re developing new therapeutics, validating biomarkers, or optimizing clinical trials, my expertise in AI/ML delivers robust solutions that drive your research forward.

Comprehensive Data Science & Machine Learning Services

Convert complex biological data into clear, actionable insights that advance your research goals.

My end-to-end data science services help life sciences organizations unlock the full potential of their data through cutting-edge AI and machine learning approaches.

Biomarker Discovery & Validation

Identify and validate biomarkers that can transform patient care and drug development.

  • Multi-omics data integration for comprehensive biomarker identification
  • Feature selection and dimensionality reduction for high-dimensional biological data
  • Predictive modeling for disease progression and treatment response
  • Statistical validation of biomarker performance across diverse populations
  • Statistical validation of biomarker performance across diverse populations
  • Real-world evidence generation for biomarker clinical utility

AI-Powered Drug Discovery & Development

Accelerate your drug discovery pipeline with advanced machine learning approaches.

  • Compound screening and lead optimization using predictive modeling
  • Drug-target interaction prediction through deep learning networks
  • ADMET property prediction and toxicity assessment
  • Clinical trial optimization and patient stratification
  • Adverse event prediction and pharmacovigilance analytics
  • Regulatory submission support with AI/ML model validation

Clinical Data Analytics & Digital Health

Transform clinical data into insights that improve patient outcomes and operational efficiency.

  • Electronic health record (EHR) data mining and pattern recognition
  • Natural language processing for clinical notes and literature analysis
  • Predictive modeling for patient risk stratification
  • Real-world data analysis for post-market surveillance
  • Digital biomarker development from wearable and sensor data
  • Clinical decision support system development

Omics Data Analysis & Interpretation

Extract meaningful insights from complex genomic, proteomic, and metabolomic datasets.

  • Genomic variant analysis and association studies
  • Transcriptomic profiling and pathway analysis
  • Proteomics and metabolomics data integration
  • Single-cell RNA sequencing analysis
  • Epigenetic data analysis and interpretation
  • Multi-omics network analysis and systems biology approaches

AI/ML Model Development & Validation

Build robust, interpretable models that meet regulatory standards and scientific rigor.

  • Supervised and unsupervised learning algorithm development
  • Deep learning and neural network architectures for biological data
  • Model interpretability and explainable AI implementation
  • Cross-validation and performance assessment strategies
  • Bias detection and mitigation in healthcare AI systems
  • Regulatory compliance for AI/ML in medical applications

Data Integration & Infrastructure

Seamlessly integrate diverse data sources into unified analytical frameworks.

  • Big data analytics pipeline development
  • Data preprocessing and quality assessment protocols
  • Cloud-based data management and analysis solutions
  • API development for data integration workflows
  • Automated reporting and visualization dashboards
  • Data governance and security implementation
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Why Work With Me For Your Data Science Needs?

Working with a data science expert benefits you in many ways.

Domain Expertise

Leverage specialized knowledge in both life sciences and advanced analytics.

Regulatory Compliance

Navigate complex regulatory requirements with confidence through validated methodologies.

Accelerated Innovation

Transform months of analysis into weeks while maintaining scientific rigor.

Actionable Insights

Receive clear, interpretable results that directly inform your research and business decisions.

The Data Science Process

My data science consulting process is designed for clarity and results.

Discovery & Requirements

We connect to understand your research objectives, data landscape, and specific challenges. I assess your current data infrastructure and identify opportunities for AI/ML applications.

Project Design & Strategy

Together, we establish the project scope, methodology, and deliverables. I provide a detailed Service Proposal outlining timelines, costs, and expected outcomes - ensuring complete transparency.

Data Analysis & Model Development

I implement sophisticated AI/ML solutions tailored to your specific needs. This includes data preprocessing, model development, validation, and interpretation using state-of-the-art techniques.

Results & Implementation

I deliver comprehensive reports with publication-ready visualizations, validated models, and detailed methodology documentation. For ongoing projects, I provide implementation guidance and model monitoring strategies.

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

Book Express Consultation

Case Studies

I worked on large medical datasets to answer causal questions related to epidemiological determinants of disease through complex exposures. Challenges included selection bias, confounding, and missing data. I successfully developed a strategy that gave researchers confidence in their results.
I’ve worked with R&D scientists who were simultaneously running multiple experiments to answer important questions about their cutting-edge products that would have a direct impact on various stakeholders. My role was to help in designing and analyzing the experiments, balancing the conceptual purity of the Design of Experiments theory (DoE) with pragmatic concerns relating to costs and timeline. Most of this work is sealed behind a Non-Disclosure Agreement (NDA) which prevents me from elaborating more.

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

Read Full Collaborator Testimonials
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 data science expertise for your life sciences project? From biomarker discovery to AI-powered drug development, I offer specialized knowledge and proven methodologies. Together, we can unlock the potential of your data and accelerate your research goals.

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Tools and Technologies

Advanced Analytics Platforms

Using industry-leading tools like R, Python, and specialized bioinformatics software, I ensure your data analysis meets the highest standards of scientific rigor.

Machine Learning & AI Frameworks

I leverage cutting-edge frameworks including TensorFlow, PyTorch, scikit-learn, and Bioconductor to build robust, scalable AI/ML solutions for life sciences applications.

Cloud Computing & Big Data

I utilize cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Spark, Hadoop) to handle large-scale genomic and clinical datasets efficiently.

Specialized Life Sciences Tools

I have extensive experience with domain-specific software including Galaxy, Nextflow, GATK, and various omics analysis platforms.

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.