
TetraScience offers a Scientific Data and AI Cloud designed to liberate, unify, and transform raw scientific data into AI-native data. This platform aims to enable Scientific AI by providing a purpose-built, open, and collaborative environment. Key products include the Scientific Data and AI Cloud, Chromatography Insights App, GxP Compliance, and Tetra Sciborgs. The company emphasizes its vendor-agnostic approach, preventing proprietary data silos and vendor lock-in. TetraScience claims to increase scientist productivity by 10x, speed up production insights by 40x, and reduce time to market by 60%. They have a significant customer base with 48% of top pharma companies using their services and 46% of employees having a life sciences background. The company focuses on enabling AI for discovery and optimizing research productivity, aiming to reduce wet lab work and redirect scientists' time to higher-value activities.

TetraScience offers a Scientific Data and AI Cloud designed to liberate, unify, and transform raw scientific data into AI-native data. This platform aims to enable Scientific AI by providing a purpose-built, open, and collaborative environment. Key products include the Scientific Data and AI Cloud, Chromatography Insights App, GxP Compliance, and Tetra Sciborgs. The company emphasizes its vendor-agnostic approach, preventing proprietary data silos and vendor lock-in. TetraScience claims to increase scientist productivity by 10x, speed up production insights by 40x, and reduce time to market by 60%. They have a significant customer base with 48% of top pharma companies using their services and 46% of employees having a life sciences background. The company focuses on enabling AI for discovery and optimizing research productivity, aiming to reduce wet lab work and redirect scientists' time to higher-value activities.
What they do: Provide a vendor-agnostic Scientific Data and AI Cloud to harmonize and operationalize laboratory and R&D data for life sciences.
Founded: 2014
HQ: Boston, MA
Notable funding: Series B $80M co-led by Insight Partners and Alkeon Capital (Apr 2021)
| Company |
|---|
Laboratory and R&D data integration, harmonization, and preparation for AI-driven analysis in life sciences.
2014
Software Development
Early seed round with investors including Rough Draft Ventures, Founder Collective, Floodgate, First Round Capital.
8,000,000
Series A included Waters Corporation joining Floodgate Capital, First Round Capital, Underscore VC, Founder Collective, and Y Combinator.
80,000,000
Series B announced April 15, 2021.
“Has attracted strategic and growth investors including Waters Corporation, Insight Partners, and Alkeon Capital across rounds.”
Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.
TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom:
In connection with your candidacy, you will be asked to carefully review the letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.
It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.
The Role We are seeking a Lead Software Engineer to help expand our scientific search platform beyond traditional keyword search and unlock new capabilities in chemical search, semantic search, and natural language search. In this role, you will work at the intersection of AI/ML, cheminformatics, knowledge representation, and distributed systems, enabling scientists to retrieve and reason over complex experimental datasets, chemical entities, assay results, and unstructured lab documents.
As a technical leader of the Search Platform team, you will guide, design and implement new search capabilities while also owning the underlying infrastructure that powers them. Lead by example for building the systems, mentor engineers, and help shape the roadmap for search capabilities and platform evolution. This includes maintaining scalable, reliable services and continuously improving the platform as we expand our search offerings. You will collaborate closely with Applied AI Scientists, platform engineers, and product teams to deliver high performance search services that drive discovery, analysis, and decision making across the bio-pharma R&D lifecycle.
If you are passionate about building scalable search systems, advancing scientific retrieval, and supporting production scale AI workloads, we'd love to talk to you.
What You Will Do
Requirements
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