
Scientific labs waste weeks learning & coding pipelines that do not carry over to the next experiment. Using just natural language, Mithrl builds them custom workflows for NGS data on-demand, in minutes -- not weeks. This allows them to focus all their time on running higher quality experiments.

Scientific labs waste weeks learning & coding pipelines that do not carry over to the next experiment. Using just natural language, Mithrl builds them custom workflows for NGS data on-demand, in minutes -- not weeks. This allows them to focus all their time on running higher quality experiments.
What they do: Build on-demand, custom NGS data workflows from natural language in minutes.
Headquarters: San Francisco, California, United States
Funding: Seed — $4.0M (announced Nov 14, 2024) led by Bonfire Ventures
Founded: 2023
Employees: 15
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Next-generation sequencing (NGS) data workflow automation and reproducible pipeline creation for scientific labs.
2023
Software Development
$4.0M
Seed round announced Nov 14, 2024.
“Seed round led by Bonfire Ventures (Nov 2024)”
About Mithrl We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with analysis, novel targets, hypotheses, and patent-ready reports.
Our traction speaks for itself:
About The Role We are hiring a Data Engineer, Knowledge Graphs to build the infrastructure that powers Mithrl’s biological knowledge layer. You will partner closely with the Data Scientist, Knowledge Graphs to take curated knowledge sources and transform them into scalable, reliable, production ready systems that serve the entire platform.
Your work includes building ETL pipelines for large biological datasets, designing schemas and storage models for graph structured data, and creating the API surfaces that allow ML engineers, application teams, and the AI Co-Scientist to query and use the knowledge graph efficiently. You will also own the reliability, performance, and versioning of knowledge graph infrastructure across releases.
This role is the bridge between biological knowledge ingestion and the high performance engineering systems that use it. If you enjoy working on data modeling, schema design, graph storage, ETL, and scalable infrastructure, this is an opportunity to have deep impact on the intelligence layer of Mithrl.
What You Will Do
What You Bring Required Qualifications
Nice to Have
What You Will Love At Mithrl
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Compensation Range: $150K - $200K