BenchSci
BenchSci is seeking a Senior Machine Learning Engineer to join their Knowledge Enrichment team. The role involves designing and implementing advanced ML approaches to analyze complex biomedical data and enhance their knowledge graph, supporting drug discovery efforts.
BenchSci develops EMET, an agentic AI workbench purpose-built for preclinical R&D that unifies proprietary scientific data, AI models, and workflows to help scientists reason through complex disease biology. EMET provides access to 16M+ closed-access papers, a proprietary knowledge graph with 858M nodes, and curated biological records across antibodies, RNAi, CRISPR, and more — enabling hypothesis generation, target identification, experiment design, and lead optimization. Pharma, biotech, and academic teams use BenchSci's EMET platform to accelerate drug discovery, reduce research fragmentation, and improve the accuracy of preclinical decision-making.
Sanofi inks pact with Canadian tech company to bring AI to preclinical R&D
Oct 8, 2025
BenchSci and Mila Partner to Advance AI for Biological Inference and Accelerate Drug Discovery
Nov 12, 2025
BenchSci signs license agreement with Sanofi for drug development platform
Oct 9, 2025
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for BenchSci.
BenchSci Signs Three-Year Global License Agreement with Sanofi for ASCEND AI Platform
Oct 10, 2025
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