
Triomics is helping cancer centers use their health record data using Generative AI for reducing the manual labor in oncology research and care.

Triomics is helping cancer centers use their health record data using Generative AI for reducing the manual labor in oncology research and care.
What they do: Oncology-focused generative AI platform (OncoLLM) that parses unstructured medical records to power clinical-trial matching, registry abstraction, pre-charting, and other oncology workflows
Founded: 2021
Notable customers / deployments: Reported deployments or partnerships with major cancer centers including Memorial Sloan Kettering and Yale Cancer Center
Recent funding: $15M Series A announced May 9, 2024
Clinical data extraction and workflow automation for oncology (trial matching, registry abstraction, pre-charting).
2021
Software Development
$15M
Announced May 9, 2024
Recorded as a non-equity assistance round
“Investors include Lightspeed, Nexus, Y Combinator, General Catalyst, and PharmStars”
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About the Role
Are you passionate about the intersection of healthcare and cutting-edge AI technology? We're on the lookout for a talented and motivated Research Engineer Intern with expertise in Natural Language Processing (NLP) to join our NLP research team. This internship provides an unique opportunity to work at the intersection of healthcare and cutting-edge generative AI technology, contributing to the development of innovative solutions. As a Research Engineer Intern, you will collaborate with experienced professionals, gain hands-on experience in NLP techniques, and contribute to advancing the state-of-the-art in clinical AI. Additionally, this opportunity presents the chance to have your work published in high-impact venues for healthcare AI and NLP.
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