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jobs description

At BioRender, our mission is to accelerate the world’s ability to learn, discover and communicate science. We are passionate about democratizing science communication in order to accelerate scientific discovery and understanding. We're looking for amazing people to help create the world’s go-to-place and platform where science is communicated. Come join us!

As a Senior/Staff Data Scientist at BioRender, you'll be part of our centralized Data organization, contributing to our strategic roadmap, building our data foundations, and ensuring we tackle high-impact projects for long-term success. Partnering closely with Data Engineering, our mission is to empower self-service, user-driven insights to fuel BioRender's growth. This role offers the chance to deliver impactful insights, analytics, and reporting. As a small team, you'll also engage in ETL, dbt, and data model design. In this role, you'll elevate our team's understanding of statistics and best practices while defining processes... recruiting, mentoring, and shaping our growing team. If managing diverse projects from KPI definition to compelling data visualizations and deep analytical work excites you, come say hello!

In Your First 3 Months
• Meet all stakeholders and develop a regular cadence for meeting with them; assess and learn about our existing KPIs; get up to speed on our dbt / data modeling best practices and identify opportunities for improvement
• Help define + model out at least 1-2 core, company KPI and build out / refine existing dashboards to use this new definition

In Your First 6 Months
• Champion analyses or dashboards for 1 key stakeholder (e.g. activation milestones, validate hypotheses for if a metric is the correct one to be looking at, help the product team set up a dashboard to monitor quarterly goals / new features, etc.); help contribute to our quarterly planning initiatives
• Have exposure to + impact on multiple analyses, dashboards, and KPI definitions; at least some projects should be cross-functional in nature (i.e. impact multiple teams, not just 1 stakeholder)

In Your First Year
• Have done extensive development in our dbt environment; have helped the Data org assess our existing BI tooling + helped BioRender migrate / roll out to another more scalable vendor
• Participate in hiring / onboarding for more junior team members; helped team establish best practices across analysis, data visualization, leveraging statistics for insights, and building out data sources in dbt
• Have significantly impacted BioRender’s ability to provide self-service analytics for the majority of asks; helped recruit for, onboard, and mentor a team of data scientists

Our Ideal Fit
• 6+ years of experience post academia, working in an analytical role – leading data discoveries, strategies and discussion with non technical stakeholders in the business
• Advanced proficiency in SQL and data visualization tools such as Metabase, Mode, Tableau or Looker; strong ability to craft meaningful dashboards that tell a story
• Experience collaborating with stakeholders to define KPIs, then build them into a data warehouse with tooling such as dbt and Airflow/Dagster/Luigi. Knowledge of ETL / data warehouse principles (but don’t worry - you’ll have ample data engineering support!)
• Strong written and verbal communication skills to influence non-technical audiences with analytical insights and data visualizations; past experience with data dictionaries / documentation / data governance
• Comfort working with complex and fast-evolving data sets; the ability to document assumptions and communicate data limitations
• Stakeholder management and prioritization - you feel comfortable working with stakeholders of varying technical abilities and empathize with their pain points; you want to use data to make their lives easier
• Basic knowledge of Github/version control and command line preferred
• [Bonus] Experience with notebook tools (e.g. Hex, Databricks, Jupyter) to run statistical analysis in a repeatable way
• [Bonus] Past experience with helping an organization “level up” their data skills and competencies
• [Bonus] Experience working with event data / event streams for funnel analysis, product KPIs, and monitoring new feature rollouts

We typically expect candidates to have 6+ years of experience to achieve these accomplishments. However, we recognize that career paths vary, and your unique journey may have equipped you with the necessary skills. If you believe you have what it takes to excel in this role, we encourage you to apply!

Why join us?
• We are mission-driven, and work collaboratively towards our shared vision of improving scientific communication and accelerating scientific discovery: BioRender figures have appeared in more than 16,000 publications!
• It’s a product that users love! We have a world-class NPS and a community of loyal fans. Check out our Testimonials page to see what our customers are saying about us: https://biorender.com/testimonials/
• We are in the top quartile for profitability and year-over-year revenue growth, with users in 200+ countries.
• BioRender is an equal opportunity employer, and an inclusive hiring process and work environment is a part of our DNA.
• We’re remote-first and have team members across Canada and the United States. A physical office in Toronto is available, but you have the flexibility to work from anywhere.
• We’re backed by top investors, accelerators, and some of the most successful life science entrepreneurs and philanthropists in the world including Y Combinator, Malala Fund founders, and Fifty Years VC.
• We are committed to building a warm, inclusive, and diverse environment. Check out how we make sure our employees come first .

Check out our candidate resource - Engineering, Product & Design at BioRender!

You can also read more about the BioRender interview process and FAQs here !

Check out what it's like to work at BioRender in Canada and the US


Apply - Data Scientist, Analytics (Senior / Staff) Canada