Senior Applied Biostatistician (R)
BioRender
Data Science
Canada · Remote
- Own the statistical rigor of the Graphing product by validating analysis correctness, refining input/output accuracy, and ensuring our statistical workflows meet or exceed trusted scientific standards such as GraphPad Prism wherever appropriate.
- Define the "recommended" analysis and sub-analyses for each user workflow, including the in-product context, explanations, and warnings that help users understand why a given method fits their data — and when it doesn't
- Partner with product and engineering to shape the stats roadmap: which methods to add next, how they interrelate, what complexity and infrastructure each new R model requires, and how to bring it into the system as a usable analysis and visualization
- Build and maintain production R code that powers these statistical features, with robust testing fixtures and QA workflows
- Level up the team's statistical literacy over time — bring product, engineering, and design along for the ride so SME knowledge compounds rather than staying siloed
- Be the diagnostic backstop for support escalations from Sales and Customer Success triage whether an issue is a stats service bug, a product app bug, or a user setup problem, and feed insights back into the roadmap
- Leverage modern AI-assisted tooling pragmatically to accelerate implementation and iteration where appropriate
- Identify opportunities where AI can unlock new workflows, automation, or intelligence, and partner closely with engineering and design to bring them to life responsibly and pragmatically
- Contribute to the broader BioRender Data Science brand and strategy
- Master's or PhD in Biostatistics, Statistics, or a closely related quantitative field
- 4+ years of experience post-academia in an analytical or applied statistics role, ideally working closely with product, engineering, and design teams
- Production-level R proficiency, including package development, testing, and code review
- Track record of writing your own code (R, Python, or similar) to implement complex statistical analyses — not just configuring existing tools or running canned procedures
- Familiarity with common scientific analysis tools (e.g. GraphPad Prism, SAS, JMP, Stata) and their statistical conventions
- Strong written and verbal communication skills, with the ability to explain statistical tradeoffs to non-specialists
- Quick learner who stays current with new methodologies and tooling
- [Bonus] Experience with multivariate analyses (e.g., principal component analysis, multiple linear regression), multi-way ANOVA, or pharma/biotech workflows like PK/PD modeling
- [Bonus] Teaching or research experience in biology-related fields
Why join us?
- We are mission-driven: we work collaboratively towards our shared vision of improving scientific communication and accelerating scientific discovery. BioRender figures have appeared in more than 54,000 publications!
- BioRender is loved by millions: We have a world-class NPS and a community of loyal fans and users in 200+ countries!
- Our company is backed by top investors and accelerators like Y Combinator, and we are on a growth trajectory comparable to many top-performing SaaS companies
- We’re remote-first with team members across Canada and the U.S., offering you the flexibility to work from anywhere.
