Formation Bio
Accelerating drug development through an AI-native pharmaceutical platform.
Company facts
- Founded
- 2016
- Employees
- 190
- Headquarters
- United States
- Type
- Private
- Funding
- Series D · $372M · 2024
- Subsidiaries
- Kenmare Bio, Bleecker Bio
Open positions


Associate Director, Data Engineering
Lead a data engineering team at Formation Bio, building and governing an AI‑native data platform (Snowflake, Dagster/Airflow, dbt) to support clinical operations and analytics, while coaching engineers and integrating AI tools into pipelines.


Engineering Manager, Infrastructure
Leads Formation Bio's infrastructure and SRE team, setting technical direction for cloud reliability, security, CI/CD, and IaC across AWS, Kubernetes, Terraform, and Snowflake — including enabling AI-native, agent-authored software delivery. Also hires and coaches engineers and owns incident response. Hybrid, 3 days/week in office.


Senior Software Engineer II, Trial Engine
Senior Software Engineer II will design, build, and operate AI-driven trial execution software, integrating clinical systems and ensuring GxP‑compliant, auditable pipelines, using cloud platforms and AI tools.


Senior Data Engineer
Builds and operates production data systems at an AI-driven pharma company — ingestion pipelines, canonical data models, and data products serving clinical operations, analytics, ML, and AI agents. Core stack is Python, SQL, Snowflake, Dagster, and dbt, with a hybrid 3-days-in-office model across NYC, Boston, and SF hubs.


Senior Software Engineer
Senior Software Engineer at an AI-driven pharma company building backend services, APIs, distributed systems, and AI-enabled/agentic workflows (tools, retrieval, evaluation) — using LLMs and agentic coding tools daily. Hybrid role, 3 days/week in office in New York, Boston, or San Francisco.


Data Scientist (Open Level)
Data scientist at AI-driven pharma company Formation Bio, leading projects on patient stratification, biomarker identification, and AI models to optimize clinical trials. Requires a PhD, 3-5+ years of life-sciences experience, strong Python, and multi-modal bioinformatics expertise.
