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Amgen Tech Stack

Large-scale biotech manufacturer scaling data, MLOps, and regulatory compliance infrastructure

Biotechnology Research Thousand Oaks, CA 10,001+ employees Founded 1980 Public Company

Amgen operates a massive biotech R&D and manufacturing footprint with 10,000+ employees across 22 countries. The hiring mix reveals a data-heavy organization (93 active data roles) coupled with 68 engineering positions and significant research/manufacturing headcount — typical of a company shifting from traditional pharma workflows toward integrated MLOps pipelines and master-data management. Current pain points (data integration, inspection readiness, compliance, statistical programming gaps) align with active projects in MLOps pipeline development, MDM implementation, and lab digitization, indicating a multi-year infrastructure modernization effort.

Tech Stack 200 technologies

Core StackOracle SAP ServiceNow AWS Databricks Conga Apache Airflow Python Docker Java React Angular PostgreSQL Apache Spark Kafka AWS Lambda Veeva Vault Adobe CRM Ariba Anaplan Hyperion Nextflow Snakemake CI/CD Ext JS EventBridge AWS SQS AWS ECS Benchling+170 more
AdoptingSmartsheet Miro SAP S/4HANA Hyperion OneStream SAP BPC TM1 Vertex+4 more
ReplacingSAP ECC

What Amgen Is Building

Challenges

  • Ensuring quality compliance performance
  • Inspection readiness
  • Data integration
  • Expanding statistical programming capabilities
  • Privacy compliance
  • Improving sales force effectiveness
  • Ensuring compliance with information security
  • Ensuring compliance with immigration laws
  • Data gaps
  • Access to medicines

Active Projects

  • Validation
  • Amgen flex batch facility
  • Technical programming and process improvement initiatives within cfor
  • Mlops pipeline development
  • Technology transfer
  • Complex statistical data analysis of clinical studies
  • Mdm implementation of mdm solutions
  • Digitization of lab experimentation and electronic recipe management
  • Support integrated delivery across regions
  • Patient-focused medical strategy development

Hiring Activity

Steady440 roles · 120 in 30d

Department

Data
93
Engineering
68
Sales
42
Research
39
Ops
36
Healthcare
29
Manufacturing
25
Marketing
22

Seniority

Senior
257
Mid
61
Manager
49
Director
30
Junior
19
Principal
12
Lead
10
Intern
1

Notable leadership hires: Medical Director, Data Governance Lead, Director GSC operations, Therapeutic Area Lead, Regulatory Lead

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About Amgen

Amgen is a publicly traded biotechnology company headquartered in Thousand Oaks, California, with operations across manufacturing, research, and commercialization. The company develops medicines across oncology, cardiovascular disease, osteoporosis, inflammatory conditions, and rare diseases. Its tech stack spans pharma-specific platforms (Veeva Vault, Benchling) alongside enterprise systems (SAP, Oracle, ServiceNow) and cloud infrastructure (AWS, Databricks). Current adoption of Workday, OneStream, and SAP S/4HANA—while retiring legacy SAP ECC—signals a transition toward unified financial and workforce systems. The organization maintains active hiring across data, engineering, research, and operations globally, with senior roles concentrated in medical direction, regulatory affairs, and data governance.

HeadquartersThousand Oaks, CA
Company Size10,001+ employees
Founded1980
Hiring MarketsSingapore, United Kingdom, India, Portugal, Canada, United States, Netherlands, China

Frequently Asked Questions

What is Amgen's tech stack?

Amgen uses Veeva Vault, Oracle, SAP, AWS, Databricks, Apache Kafka, Benchling, ServiceNow, and Workday. Currently adopting SAP S/4HANA and OneStream while phasing out legacy SAP ECC.

What projects is Amgen working on?

Active initiatives include MLOps pipeline development, master-data management implementation, lab digitization and electronic recipe management, complex statistical analysis of clinical studies, and technology transfer across regions.

How this profile is built

Amgen'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.