Senior Applied Biostatistician (R)

• 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.