
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.”
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 Tetra Way 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 As a Lead Platform Engineer, you will play a critical role in evolving and scaling our cloud-native Tetra data platform to handle 100× growth in data volume and user demand. You'll partner with engineering, data, and AI teams to design scalable architectures, proactively anticipate and mitigate scaling challenges, and ensure our platform remains performant, reliable, and cost-efficient as it grows.
This is a highly impactful role for an engineer who's passionate about distributed systems, understands the trade-offs of large-scale design, and thrives on turning ambitious scalability goals into concrete technical strategies.
If you're excited by the challenge of architecting cloud-native infrastructure to power massive growth and thrive on solving complex scalability problems, we'd love to hear from you.
What You Will Do
Champion best practices in distributed systems design, scalability, and performance optimization, and share architectural insights through design reviews and technical documentation.
Requirements
Benefits
We are not currently providing visa sponsorship for this position.