You will help design and implement ML-based approaches to analyze, extract, and generate knowledge from complex biomedical data such as experimental protocols and from results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented in unstructured text and knowledge graphs.
You will work alongside some of the brightest minds in tech, leveraging state-of-the-art approaches to deliver on BenSci’s mission to expedite drug discovery.
Knowledge Enrichment is at the core of this challenge as it ensures we can reason over and gain insights from an extensive, accurate, and high-quality representation of biomedical data.
