BioRender is a platform that enables scientists and researchers to create professional scientific figures quickly and easily. It offers a vast library of over 50,000 curated icons and templates across more than 30 fields of life sciences, including immunology, microbiology, and neuroscience. The tool is designed for ease of use with drag-and-drop functionality, allowing users to produce scientific figures up to 50 times faster than traditional methods. BioRender is trusted by over 2. 5 million scientists and used in over 1500 leading institutions, providing essential visual communication tools for scientific research, publications, presentations, and more.
Science Illustration β’ Science Communication β’ Technology β’ Startup β’ SAAS Startup
December 21, 2024
πΊπΈ United States β Remote
β° Full Time
π‘ Mid-level
π Senior
π€ Machine Learning Engineer
BioRender is a platform that enables scientists and researchers to create professional scientific figures quickly and easily. It offers a vast library of over 50,000 curated icons and templates across more than 30 fields of life sciences, including immunology, microbiology, and neuroscience. The tool is designed for ease of use with drag-and-drop functionality, allowing users to produce scientific figures up to 50 times faster than traditional methods. BioRender is trusted by over 2. 5 million scientists and used in over 1500 leading institutions, providing essential visual communication tools for scientific research, publications, presentations, and more.
Science Illustration β’ Science Communication β’ Technology β’ Startup β’ SAAS Startup
β’ Combine computer vision and code generation: Develop structured, editable visuals (e.g., SVG/JSON) that accurately represent scientific concepts. β’ Create story-driven scientific visuals: Design models that capture the appropriate level of detail, layout, and structure to effectively communicate complex biological concepts. β’ Leverage scientific understanding: Build technology that understands the nuances of biological research to produce scientifically accurate visuals. β’ Enable chat-driven figure editing: Implement intuitive, natural language-based editing of visuals while preserving their scientific integrity.
β’ Deep technical expertise in machine learning β’ A passion for solving novel challenges β’ An enthusiasm for helping scientists communicate groundbreaking research faster and more effectively β’ Scientific and research background
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