Role overview
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 Machine Learning Team is at the forefront of this vision, automating figure generation from diverse user inputs like experimental protocols and research publications, and producing scientifically accurate, editable visuals using our library of icons and templates. We’re looking for a
Machine Learning Engineer
who is excited to tackle
hard, unsolved problems
that go beyond off-the-shelf capabilities.
What you'll work on
- Combine computer vision and code generation: Develop structured, editable visuals (e.g., SVG/JSON) that accurately represent scientific concepts.
- Create story-driven scientific visuals: Design models that capture the appropriate level of detail, layout, and structure to effectively communicate complex biological concepts.
- Leverage scientific understanding: Build technology that understands the nuances of biological research to produce scientifically accurate visuals.
- Enable chat-driven figure editing: Implement intuitive, natural language-based editing of visuals while preserving their scientific integrity.
What we're looking for
- Scientific and research background