Clinical trial platform connecting sites, sponsors, and patients across 7,000+ research centers
OneStudyTeam operates a cloud-based platform for clinical research sites that sits between sponsors and patients in the drug-development supply chain. The tech stack—Python, Clojure, Kafka, dbt, Redshift, SageMaker, plus emerging AI (OpenAI, Anthropic)—reveals active investment in ML-driven patient matching and recruitment forecasting. Hiring velocity is accelerating with a leadership gap in security and engineering: three open security roles and a Director of Engineering position suggest compliance and product-scaling pressures are hitting simultaneously.
Notable leadership hires: Security Director, Director of Engineering
OneStudyTeam provides a cloud platform that digitizes clinical trial workflows for research sites and enables coordination between sites, trial sponsors, and patients. The product addresses three key problems: reducing administrative burden at research sites, improving patient pre-screening and enrollment rates, and giving sponsors real-time visibility into recruitment activity across channels. The platform operates at scale—deployed across over 7,000 research sites in more than 100 countries—serving large global biopharmaceutical companies. The company is backed by Reify Health and is headquartered in Boston.
OneStudyTeam uses AWS (Athena, Redshift, SageMaker), Python, Clojure, dbt, PostgreSQL, Kafka, React, TypeScript, Kubernetes, and Tableau/Power BI for analytics. They are actively adopting OpenAI and Anthropic for AI-driven features.
Yes. OneStudyTeam has 4 active engineering roles open with accelerating hiring velocity. Leadership positions include a Director of Engineering and multiple senior/principal-level engineers.
Current projects include patient matching and recruitment ML models, site randomization forecasting, AI-driven clinical trial products, HIPAA audit readiness, and third-party risk management frameworks.
OneStudyTeam'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.