Founding Data Engineer — Build Biology’s Search Engine
Listed on 2026-07-14
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Software Development
AI Engineer (Applied/Software), Data Engineering, Machine Learning/ ML Engineer
Overview
We are hiring our founding technical team to organize the world’s biological information and make the complex, enormous world of biological data feel small and accessible. We’re not building data infrastructure or workflow orchestrators; we’re building a search engine for all biology.
At the Broad, we built compilers, query optimizers, and new distributed algorithms to make petabyte‑scale population genomics possible, and gnomAD, the largest public database of human genetic variation, which has contributed to over 6 million rare disease diagnoses. We’ve seen firsthand how the ability to explore biological data in real time doesn’t just let scientists answer the same questions faster, but rather leads to fundamentally different questions and a new level of understanding.
We also know from experience that the tools from the tech industry often don’t translate well to biology, and that we need to be fearless in adapting or rebuilding whatever is necessary to get the job done.
We’re backed by an incredible set of investors and angels—including Jeff Dean, who’s long been a personal hero of mine in the systems engineering space—and couldn’t be more excited for the journey ahead.
We’re Looking For- A founding software engineer, a product‑minded generalist with experience working across the stack who thrives building technology that surfaces new scientific insights.
- A founding data engineer, who lives in the middle of data science, software engineering, and ML engineering, and is excited to build and use new technologies (including LLMs) to accelerate biological data curation by two orders of magnitude.
We’re based in Cambridge, MA and work in the office together 2 days per week; these are hybrid on‑site roles.
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