Global pharmaceutical manufacturer developing therapies across oncology, ophthalmology, and immunology
Astellas is a Japan-based public pharmaceutical manufacturer operating at scale across 25+ countries with 10,000+ employees. The tech stack reveals a mature enterprise architecture: SAP + Oracle + SQL Server for core systems, Veeva for life-sciences-specific compliance, and a modernization layer (Docker, Kubernetes, SAP BTP) alongside data tools (Databricks, dbt, Python, Qlik, Tableau). Active hiring spans research, engineering, data, and sales—signaling both sustained R&D investment and operational digitalization efforts. Pain-point data shows regulatory compliance, data integrity, and supply-chain optimization as persistent friction points.
Notable leadership hires: Research Strategy Lead, Incubation Lead, Statistical Science Lead, Precision Medicine Lead, Regulatory Affairs Lead
Astellas develops and commercializes pharmaceutical therapies focused on oncology, ophthalmology, urology, immunology, and women's health. The company operates a global manufacturing and distribution network with significant presence in North America, Europe, Asia-Pacific, and emerging markets. Active projects include new product launches, market access strategy, and HR systems modernization. The organizational structure combines research and clinical teams with commercial sales, operations, and manufacturing functions, reflecting the integrated structure of a late-stage pharma company managing both innovation pipelines and mature product portfolios.
Core enterprise systems: SAP, Oracle, SQL Server. Life sciences compliance: Veeva. BI/analytics: Tableau, Qlik, Power BI. Data & ML: Databricks, dbt, Python, Azure, AWS. Containerization: Docker, Kubernetes adoption in progress.
25 countries: Japan, India, US, Canada, UK, Ireland, Poland, Egypt, Saudi Arabia, Italy, Mexico, Turkey, Australia, China, France, Hungary, Singapore, Thailand, Taiwan, Malaysia, Vietnam, Germany, South Africa, Romania, Denmark.
Other companies in the same industry, closest in size