Secure Data Collaboration and Machine Learning to Accelerate Life Science Collaborative Research
Secure Data Collaboration and Machine Learning to Accelerate Life Science Collaborative Research
22 PagesThis paper explains how Snowflake’s Data Cloud enables secure, scalable Trusted Research Environments (TREs) for life sciences collaboration. Traditional TREs are costly and slow to build, but Snowflake reduces setup time to 30 minutes with pay-as-you-go billing, robust security, and support for advanced analytics like ML. TREs ensure compliance with regulations such as GDPR and HIPAA while maintaining strict access controls and auditability. A case study with the Francis Crick Institute shows how Snowflake and Infinite Lambda delivered a flexible TRE that accelerates research by enabling secure, efficient sharing and analysis of sensitive biomedical data.
