BenchSci remote jobs and company guide

We’re resolving the complexity of disease biology to help advance your science.

Using AI and proprietary visual machine learning, we’ve built the world’s first evidence-backed map of disease biology. Because we believe that when scientists understand what has already been done, they can understand the feasibility of what is yet to be discovered.

Our founders Tom Leung, David Q. Chen, Elvis Wianda, and Liran Belenzon met at the U of T Creative Destruction Lab in 2015. Together they built, tested, and validated an AI solution to the antibody reproducibility crisis. This captured the attention of Google’s AI fund Gradient Ventures, who led BenchSci’s A-round and raised $10M to develop the technology and the business.

In 2017, BenchSci launched its first application, AI-Assisted Antibody Selection, to help scientists reduce experimental failure. The solution used both experiment-specific text ML and proprietary vision ML models that could understand the type of experiment being conducted. Next, our team then built relationships between those data points with proprietary bioinformatics ontologies. Best of all, we made these results searchable in an intuitive user interface.