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/Director, Data Science, EHR AI
Lead real-world data strategy for a pharma AI company, building pipelines and harmonizing datasets to accelerate drug development and portfolio decisions.
Senior / Principal Data Scientist, EHR AI
Senior Data Scientist at a tech-driven pharma company, building and analyzing real-world patient data pipelines to accelerate drug development using SQL, Python, Snowflake, and generative AI.
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.
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.