AI platform for scientific data and lab automation in biopharma
TetraScience builds a data and AI operating system for scientific R&D and manufacturing, with particular depth in lab workflow automation and experimental data management. The stack is heavily AWS-native (Lambda, Step Functions, Glue, RDS) layered on Databricks and Snowflake, suggesting a data-first architecture designed for scale. Hiring is concentrated in data (51 roles) and sales (35 roles) relative to engineering (24), signaling a data-engineering-heavy company in sales-expansion mode—consistent with their active projects around SKU expansion, new personas, and category evangelism.
Notable leadership hires: Head of Sales, Engagement Director
TetraScience is a scientific data and AI platform company founded in 2019, headquartered in Boston. The product, Tetra OS, unifies three core capabilities: a Scientific Data Foundry (data unification layer), a Scientific Use Case Factory (workflow templates), and Tetra AI (agentic guidance and cross-domain insights). The platform targets biopharma organizations across discovery, development, and manufacturing, with integrations to NVIDIA, Databricks, Snowflake, Google, and Microsoft. The company operates at 201–500 employees across nine countries, with active hiring in the US, Germany, Austria, Denmark, Ireland, India, UK, Switzerland, and Japan.
AWS (Lambda, Step Functions, Glue, RDS, DynamoDB, SQS, VPC, IAM, KMS, GuardDuels), Databricks, Snowflake, Delta Lake, Apache Spark, Python, Java, TypeScript, React, .NET, GitHub Actions, and CloudFormation.
Headquartered in Boston, MA. The company hires globally across United States, Germany, Austria, Denmark, Ireland, India, United Kingdom, Switzerland, and Japan.
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