We empower scientists with the world’s most advanced biomedical artificial intelligence.
380+ employees
Artificial Intelligence
Open for applications
Role
Who you are
What the job involves
Analyse and manipulate a large highly-connected biological knowledge graph constructed of data from multiple heterogeneous sources in order to identify data enrichment opportunities and strategies
Work with data and knowledge engineering experts to design and develop knowledge enrichment approaches/strategies that can exploit data within our knowledge graph
Provide solutions related to classification clustering more-like-this-type querying discovery of high value implicit relationships and making inferences across the data that can reveal novel insights
Deliver robust scalable and production-ready ML models with a focus on optimising performance and efficiency
Architect and design ML solutions from data collection and preparation model selection training fine-tuning and evaluation to deployment and monitoring
Collaborate with your teammates from other functions such as product management project management and science as well as other engineering disciplines
Sometimes provide technical leadership on Knowledge Enrichment projects that seek to use ML to enrich the data in BenchSci’s Knowledge Graph
Work closely with other ML engineers to ensure alignment on technical solutioning and approaches
Liaise closely with stakeholders from other functions including product and science
Help ensure adoption of ML best practices and state of the art ML approaches at BenchSci
Participate in and sometimes lead various agile rituals and related practices
BenchSci aims to exponentially increase the speed and quality of life-saving research by empowering scientists with advanced biomedical artificial intelligence.