Cloud-based genomics-sequencing data processing at scale
Cloud-based genomics-sequencing data processing at scale
AWS is Amazon's cloud platform, used across pharma for genomics compute, SageMaker/Bedrock model training, and healthcare-and-life-sciences-specific services like Amazon HealthOmics.
This sits in the Build stage of the AI use-case lifecycle: Named examples from the foundation-model labs and platforms pharma teams use to actually construct, train and generate the model or application.
Published by AWS on its own site — read the original case study on aws.amazon.com ↗
Note: 404/not found: URL resolves to a generic AWS 'Customer Success Stories' hub page (featuring Sony, Blue Origin, Pinterest, Phagos, etc.) with no mention of AstraZeneca anywhere on the page. The original AstraZeneca-specific case study no longer exists at this address.
Related use cases
- 01Sanofi Accelerates Drug Discovery with AI on AWS
- 02Key Takeaways from Gilead's Innovation Talk at re:Invent 2023
- 03AWS Life Sciences Symposium 2025 | Development Assistants at AstraZeneca
- 04Roche Accelerates Personalized Healthcare R&D While Reducing Costs Using AWS HealthOmics
- 05AWS re:Invent 2023 - Customer Keynote Pfizer
- 06AWS Founder Spotlight: Noetik