Building Strong Relationships Through Exceptional Science RainCity Analytics is a health economics and outcome research (HEOR) consultancy, with expertise that spans a wide range of analytical methods and clinical areas. In creating RainCity Analytics, we sought to build a collaborative work environment with positive values. As our team grows, we promote the principles of good storytelling through methods grounded in rigorous scientific methodology.

We cultivate a motivated start-up mentality that is dynamic and adaptable to our client needs. Our team continues to embrace our academic roots with ongoing methodology research, working in global health and with multilateral agencies – including the development of the World Health Organization clinical guidelines.

Joining RainCity means working with a highly motivated and supportive team. We invest in professional growth, encourage thought leadership, and give our staff the autonomy to shape their roles. If you’re passionate about improving health through evidence and analysis – and want to work in a flexible, mission-driven environment.

What We Offer

Base salary $55-75K

Comprehensive extended health benefits

Hybrid work environment that supports work-life balance

Amazing corporate culture (we are really cool scientists!)

Equivalent of 3 weeks’ vacation to start

Come join us – let’s change lives together!

About The Role We’re looking for an

Associate Biostatistician

to join our growing consultancy. Reporting to the Director of Biostatistics or designate, the Assistant Biostatistician will contribute to the design, execution, and reporting of advanced quantitative analyses across a range of health research and consulting projects, including oncology, HIV, rare diseases, and other therapeutic areas.





This role involves conducting statistical analyses, developing reproducible code, supporting evidence synthesis, and contributing to manuscripts, statistical analysis plans, reports, and presentations. As a growing consultancy, RainCity Analytics values flexibility; responsibilities may extend to supporting systematic literature reviews, internal process development, and client-facing deliverables.

This position is full time and may be hybrid or remote, depending on candidate location and project needs.

What you’ll do: Statistical Analysis & Modeling

Conduct statistical analyses using R (e.g., regression, survival analysis, mixed models)

Support real-world evidence projects, including claims and registry data analysis

Perform evidence synthesis analyses (e.g., meta-analysis, network meta-analysis)

Support comparative effectiveness analyses, including propensity score methods and MAICs/STCs

Programming & Reproducible Research

Develop and maintain high-quality, well-documented R code

Perform independent quality control and validation of statistical analyses, datasets, tables, figures, and outputs.

Create automated workflows and scripts to support project efficiency

Research Contribution

Support systematic literature reviews, including screening and data extraction

Assist with manuscript drafting, editing, and journal submissions, and conference abstracts, posters, and presentations





Support development of statistical analysis plans, technical reports, and evidence packages for health technology assessment and payer decision-making

Operational & Project Support

Support smooth running of projects through clear communication and documentation

Translate statistical findings into clear, client-ready insights for technical and non-technical audiences

Other duties as assigned to support client and company success

What you bring:

Master’s degree or higher in statistics, biostatistics, epidemiology, or related field

Proficiency in R programming and the use of GitHub

Strong analytical and problem-solving skills

Excellent attention to detail and accuracy

Strong oral and written communication skills

Proficiency with Microsoft Office (Word, Excel, PowerPoint)

Ability to work independently and collaboratively

Strong organizational and time-management skills

Nice to have:

Experience in health research settings

Experience with SAS and/or WinBUGS/JAGS

Knowledge of Bayesian methods

Knowledge of network meta-analysis and other indirect treatment comparison methods

Experience with real-world data (e.g., claims, electronic health records, registries)

Experience with reference management software (e.g., EndNote, RefWorks)

Our work environment:

A collaborative, curious, and supportive team

Opportunities for skill growth

Competitive compensation and potential for flexible work arrangements

The chance to contribute to meaningful work that shape real-world healthcare decisions.

If you’re passionate about advancing healthcare through rigorous research and impactful client partnerships, we’d love to hear from you.

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📌 Associate Biostatistician (Winnipeg)
🏢 RainCity Analytics
📍 Winnipeg