Company profile

TetraScience Tech Stack

Scientific data and AI platform for biopharma R&D and manufacturing

Software Development Boston, MA 201–500 employees Founded 2019 Privately Held

TetraScience builds a cloud platform that turns fragmented lab and instrument data into AI-ready datasets for biopharma. Its deeply AWS-native stack (EKS, Lambda, Kinesis, Glue, Step Functions, Bedrock) paired with Databricks MLflow points to a push into production model and agent serving. Hiring is accelerating and skews data and senior engineering, with sales roles focused on technical pre-sales such as RFPs and proof-of-concepts.

Tech Stack 60 technologies

Core StackSnowflake Databricks AWS TypeScript Python CloudFormation Terraform Docker CloudWatch AWS Lambda AWS Glue PostgreSQL MLflow Java Apache Airflow NVIDIA AWS ECS Thermo Fisher Scientific AWS CodeBuild AWS EKS AWS KMS Kinesis Athena CloudTrail AWS Cost Explorer Aurora Codex AWS Bedrock LIMS AWS Step Functions+30 more

What TetraScience Is BuildingChallenges and projects from their job posts

◆Challenges

Fragmented, siloed and complex scientific data
Regulatory compliance for AI models
Meeting scalability and cost targets
Tech debt and operational inefficiencies at scale
Reducing cycle time from commit to production

▲Active Projects

Industrializing scientific AI with agents for pharma scientists
Model and prompt lifecycle across MLflow and Bedrock
Inference substrate for real-time and batch AI
Extensible data models and parsers for pre-clinical data
Reinforcement learning on large continuous datasets
Proof-of-concept engagements and RFP technical responses

Hiring Activity

Accelerating25 roles · 15 in 30d

Department

Data

Engineering

Sales

Executive

Legal

Seniority

Senior

Lead

C-Level

Manager

Principal

Notable leadership hires: Tech Lead, Chief of Staff

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About TetraScience

TetraScience is a privately held company headquartered in Boston, MA, founded in 2019 and employing 201–500 people. It develops Tetra OS, a platform that ingests, harmonizes and governs scientific data across discovery, development and manufacturing, then applies AI to scientific workflows. Its customers are biopharmaceutical organizations, and the platform integrates with lab systems such as LIMS and Thermo Fisher Scientific instruments. The company hires across the United States, United Kingdom, Germany and Switzerland.

HeadquartersBoston, MA

Company Size201–500 employees

Founded2019

Hiring MarketsUnited Kingdom, United States, Germany, Switzerland

Frequently Asked Questions

What tech stack does TetraScience use?

TetraScience runs on AWS (ECS, EKS, Lambda, Kinesis, Glue, Athena, Bedrock) with Python, TypeScript and Java, Terraform and CloudFormation for infrastructure, plus Snowflake, Databricks, MLflow, PostgreSQL and Apache Airflow.

What is TetraScience working on?

Current initiatives include industrializing scientific AI, building model and prompt lifecycle tooling across Databricks MLflow and AWS Bedrock, designing inference infrastructure for real-time and batch AI, and agent capabilities for pharma scientists.

Where does TetraScience hire?

TetraScience is headquartered in Boston, MA and hires in the United States, United Kingdom, Germany and Switzerland, mostly for senior data and engineering roles.

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How this profile is built

TetraScience's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.