
case study
Accelerate research and discovery, optimize supply chains and drive commercial effectiveness with a robust data and AI foundation that enables compliance with regulatory requirements like GxP, HITECH and HIPAA.
Overview
Unify siloed data across source systems, derive actionable business insights and securely collaborate with internal and external teams and partners with the Snowflake AI Data Cloud.
Streamline data analytics and deploy AI with ease using native AI capabilities and LLMs directly within your Snowflake account.
Leverage an open architecture that provides seamless access to a complete ecosystem of AI ready data, apps and agentic products for life sciences.
Enjoy enterprise-grade security, governance, observability and business continuity and disaster recovery controls across regions and clouds.
our customers
Pfizer Accelerates Insights and Lowers TCO by 57% While Processing Data 4x Faster
By migrating to Snowflake, this pharma giant has unified business units with greater access to insights and seamless data sharing — all while reducing total cost of ownership (TCO).

Leading life sciences organizations trust Snowflake




Accelerate industry research and expedite time to discovery with data, secure collaboration and AI.
Turn real-world evidence into actionable insights using advanced analytics and AI across structured and unstructured data.
Drive efficiency throughout your supply chain via first- and third-party data insights to better predict — and proactively prevent — disruptions.
Use data and AI to personalize commercial engagement and optimize the success of new market launches.
Our network of data and services providers can help you migrate, maximize and extend your Snowflake deployment.

Get Started
SNOWFLAKE FOR life sciences
Your top questions for getting started with Snowflake for Life Sciences.
Cloud platforms give life sciences organizations a secure, scalable foundation to unify data, reduce costs and accelerate innovation. The following are some of the benefits organizations in this industry can leverage:
Aggregate siloed data: Eliminate data silos by unifying disparate sources (EHRs, claims, genomics) into a single source of truth. This produces better insights that power downstream use cases like care delivery and operational efficiency.
Tap into a connected ecosystem: Securely share live data with research and business partners without costly and risky data duplication. This speeds up clinical trial timelines, lowers research costs, improves marketing personalization, creates new opportunities for data monetization and more.
Ensure business continuity: Cultivate resilience with superior disaster recovery that protects critical systems from downtime. Cloud platforms also reduce capital expenditures by shifting to a predictable operational model while supporting HIPAA compliance.
Leverage data and AI for ROI: Use your unified data to power AI and machine learning models. This allows you to deploy predictive analytics that lower operational costs, optimize supply chains and accelerate the drug discovery pipeline.
Snowflake supports leading, globally recognized public sector and commercial security standards to enable compliance and data protection, including PHI and PII. These include support for compliance with HIPAA, HITRUST, FedRAMP, SOC2 and GDPR. Learn more on Snowflake’s security hub.
Yes, Snowflake’s AI Data Cloud enables life sciences organizations to activate all their multimodal data (structured, unstructured, semi-structured), wherever it may live, across clouds and regions.
Snowflake is compatible with many best-of-breed industry solutions for life sciences organizations, many of which are accessible via native apps and connectors in Snowflake Marketplace.
Although regulatory compliance is the customer’s overall responsibility, Snowflake understands that there is some inherited, shared responsibility in those activities with customers. To learn more about how Snowflake supports GxP workloads, please refer to this documentation.