Senior Manager, Data Science & Analytics

At BioRender, we are accelerating the world’s ability to discover, learn, and communicate science faster through visuals. Today, BioRender empowers millions of scientists to create beautiful, accurate biological figures for communication within pharma companies and academic research.

Our vision is to make BioRender the place where humans read biology—translating human and AI-generated data into scientifically accurate, human-understandable visuals. As AI automates large parts of research, BioRender will transform complex data, experimental results, and text inputs into clear, intuitive visuals that scientists, decision-makers, and broader audiences can quickly interpret. Visual communication will be critical to accelerating breakthroughs across academia and industry, and BioRender will bridge the gap between specialized knowledge domains.

Our Data Team is at the forefront of this vision, ensuring data is structured, trusted, and actionable for strategic decision-making. We’re looking for a Senior Manager, Data Science & Analytics who is excited to drive business impact across BioRender.

This is an excellent opportunity for someone who:

• Has previously led a Data Science & Analytics team and wants to bring their expertise to a high-growth environment where data-driven decision-making is core to the company’s success.
  OR

• Has broad data strategy and analytics leadership experience, is comfortable managing a team, and is ready to scale a data program.

What you'll be doing :

• Data as a Work Product

  • Unify and expand business metrics to ensure consistent usage across the company.

  • Own the trust and quality of core data sets, providing a single source of truth for company and product performance.

  • Ensure our business model is accurately reflected in how data and metrics are structured.

  Data as a Thought Leader

  • Identify emerging trends in data to guide strategic business decisions and investment areas.

  • Provide novel insights into opportunities where the company should focus its efforts.

  AI-Forward & Self-Serve Analytics

  • Enable self-serve capabilities for stakeholders across the company, reducing the technical complexity required to extract insights from data.

  • Champion AI-driven data tooling to enhance accessibility and efficiency.

Our ideal fit brings:

• Strong business acumen with a deep understanding of key GTM, Finance, and Product metrics.

• Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders.

• Experience in training and enablement, ensuring that teams are empowered to leverage data effectively.

• Leadership experience in managing a team of experienced GTM and Product data analysts.

• Ability to work closely with Product and GTM teams (PMs, AEs, CSMs) to define critical data needs, such as experimentation frameworks and end-user reporting.

Nice to haves:

• Experience working with data engineering teams to drive scalable data solutions.

• Familiarity with data governance frameworks and best practices.

• Background in AI-driven analytics tools and self-serve business intelligence platforms.

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. 

BioRender is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.