Amgen operates a sprawling biotech enterprise spanning research, clinical development, manufacturing, and commercial sales across 25+ countries. The tech stack—Databricks, PySpark, Kafka-adjacent infrastructure, plus heavy SQL and SAS—supports data engineering at pharmaceutical scale, while active adoption of Power BI, SAP S/4HANA, and RAG signals a push toward real-time analytics and AI-assisted decision-making. The hiring mix (sales and data leading, with manufacturing and research sustained) reflects a company balancing commercial growth against ongoing R&D velocity and operational compliance demands.
Notable leadership hires: Data Governance Lead, Scientific Associate Director, Clinical Research Medical Director, Incentive Compensation Lead, Compliance Director
Amgen is a public multinational biotechnology company headquartered in Thousand Oaks, California, and a constituent of the Dow Jones Industrial Average. The company develops and manufactures biologic medicines across oncology, cardiovascular disease, bone health, immunology, and rare genetic conditions. Operations span research laboratories, manufacturing facilities (including the Amgen Flex batch platform), clinical trial infrastructure, and a global commercial organization. The organization manages tens of thousands of active roles across engineering, data, sales, manufacturing, research, and operations, with hiring concentrated in the United States, India, and Europe. Regulatory compliance, data reliability, and manufacturing quality are persistent operational priorities.
Amgen runs SQL, SAS, R, Python, Scala, and PySpark on AWS and Databricks for data work; PostgreSQL, MySQL, MongoDB, and Oracle for databases; Jira/Confluence for development; Tableau and Power BI for analytics; SAP ECC, Oracle, and Salesforce for enterprise systems.
Amgen posts roles across 25 countries: United States, India, China, Japan, United Kingdom, Canada, and others including Belgium, Portugal, Singapore, Thailand, Colombia, Egypt, and Argentina.
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