
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
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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”
📌 Important:
To successfully apply for this position, filling out this form is mandatory . Applications without a completed form will not be considered .
Position: ML Research Engineer
Location: On-site ( HSR Layout, Bengaluru )
Type: Full Time
About the Role:
We are seeking a driven NLP Research Engineer with 2–3 years of hands-on experience in model development and prototyping. In this R&D-focused role, you will explore and implement state-of-the-art LLM architectures, prompt engineering strategies, and LLM training techniques tailored to healthcare and oncology text. Your primary responsibility is to drive proof-of-concepts—from rapid iterations to rigorous experimental evaluations on clinical-text tasks. While our production teams will help with deployment, you’ll collaborate closely to hand off scalable prototypes that demonstrate clear performance gains.
What We Expect You to Bring:
What You Will Be Doing:
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Perks & Benefits: