BenchSci’s vision is to bring novel medicine to patients 50% faster by 2025. We’re achieving it by empowering scientists with the world’s most advanced biomedical artificial intelligence to run more successful experiments. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top-20 pharmaceutical companies and over 4,300 leading research centers worldwide. We’re a remote-first company recognized for our impact and culture as a Deloitte Tech Fast 50TM, CIX Top 10 Growth, Great Place to Work®, and top-ranked organization on Glassdoor. Learn more at www.benchsci.com.

26/07/2024
Full time
BenchSci Remote
We are looking for a Senior Machine Learning Engineer to join our Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse, 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. The data will be leveraged in order to enrich BenchSci’s knowledge graph through classification, discovery of high value implicit relationships, predicting novel insights/hypotheses,...