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 Platform team is at the heart of collecting and unlocking data at BioRender. We seek to build and maintain the right architecture and tooling to support our data science, analytics, product, and machine learning initiatives. An ideal candidate will have plenty of experience building data products and helping shape data strategy in a fast-paced startup environment

What you'll bring :

7+ years of data engineering experience of relevant industry experience
Expertise working with Data Warehousing platforms (AWS RedShift or Snowflake preferred) and data lake / lakehouse architectures
Experience with Data Streaming platforms (AWS Kinesis / Firehose preferred)
Demonstrated ability to (creatively) solve complex architectural problems, think about tradeoffs and systems design
Effective communication skills and ability to translate deeply technical designs into business appropriate representations as well as analyze business needs and requirements ensuring implementation of data services directly correlates to the strategy and growth of the business
Expertise with SQL and programming languages commonly used in data platforms (Python, Spark, etc)
Experience with data pipeline orchestration (e.g., Airflow) and data pipeline integrations (e.g. Airbyte, Stitch)

Our ideal fit brings:

Detail-oriented, process-oriented, data-focused, and good at picking up on data inconsistencies
Growth mindset, excited to learn new libraries / technologies but extremely practical and deliberate about adopting them for production. Extremely thoughtful about tradeoffs between different tools and whether they are solving the right problems for the team and for our users
Strong work ethic with a focus on delivering results
Inquisitive, thorough, and pragmatic
Excellent communication skills with the ability to explain complex solutions/problems clearly and succinctly to the team and internal stakeholders
Enjoys working cross-functionally and helping teammates work more effectively

Nice to haves:

Proficiency in dbt, sdf, or an equivalent SQL development framework
Hands-on experience with data mesh architecture
Experience with Data as a Product (DaaP) principles, emphasizing data discoverability, quality, security, and self-service accessibility

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.

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Req ID: R31

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