Genomics England uses Dremio to provide 1,800+ researchers self-service access to genomic data across 280,000 participants.
The Agentic Lakehouse for Life Sciences
Unify fragmented clinical, research, and commercial data, accelerate AI-driven drug development, and activate governed analytics without ETL, data duplication, or regulatory risk.
Trusted by leading life sciences organizations
BENEFITS
Built for modern life sciences data teams
Dremio gives life sciences data teams the fastest path to trusted AI and analytics, unifying EDC, LIMS, omics, EHR, and commercial data without duplication, ETL, or lock-in. Clinical data managers, translational researchers, RWE scientists, and AI agents get governed access to a single query layer across research and commercial systems, without waiting on data engineering.
Fastest Path to Life Sciences AI and Analytics
Unifies operational and enterprise data with business context, enabling accurate predictive insights and consistent AI-driven analytics.
Dive into the AI Semantic Layer →
All Your Life Sciences Data, Where It Lives
Query clinical and research data in place with zero ETL, reducing costs while enabling unified access across all systems.
Learn about Dremio's Intelligent query engine →
Compliance and Data Integrity You Can Prove
Enforce governed access, full lineage, and audit-ready compliance across regulated data, without slowing clinical and commercial teams.
Review our certifications →
USE CASES
Life Sciences Use Cases
Find the use case for your team below. Dremio connects clinical data managers, translational researchers, RWE scientists, and AI agents to the same governed, always-current life sciences data foundation.
Clinical data management teams connect EDC, LIMS, biomarker, and imaging data across sponsors, CROs, and sites through a single governed query layer for interim analyses and NDA submissions. Dremio federates clinical systems without data movement, reducing submission data preparation time while maintaining Part 11 audit trails.
Research bioinformaticians query multi-omics datasets (WGS, RNA-seq, proteomics) alongside clinical phenotype data at petabyte scale without moving data between compute environments. The AI Semantic Layer maps genomic identifiers and clinical terminologies to study definitions, enabling self-service correlation across research domains.
RWE and health economics teams unify claims, EHR, specialty pharmacy, and patient registry data for post-market studies, label expansions, and payer submissions. Dremio federates across payer and provider data sources without centralization, with AI Semantic Layer mapping ICD-10, NDC, and SNOMED codes to protocol-specific definitions.
Drug safety teams correlate adverse event reports from MedWatch, VigiBase, and internal clinical databases with product exposure data in real time for signal detection and expedited FDA reporting. Dremio eliminates the safety data warehouse by enabling real-time federated queries across post-market and clinical safety data.
Brand analytics and market access teams unify prescriber, payer, specialty pharmacy, and field force data for launch tracking, formulary access monitoring, and pull-through analytics. Polaris Catalog enforces PHI and competitive data access controls at query time so analysts work with governed data without IT dependency.
CUSTOMER STORIES
Trusted by life sciences data teams worldwide
World Bank Group transformed capital markets operations with an agentic lakehouse built on Dremio.
Transforms data architecture with Dremio: from complex ETL to real-time analytics and AI-ready infrastructure
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FAQs
Frequently Asked Questions
Get common questions answered about Solutions for Life Sciences.
Dremio provides the infrastructure components required for 21 CFR Part 11-compliant deployments, including immutable Iceberg table format through Polaris Catalog, query-level audit logging, and full data lineage tracking. Life sciences organizations are responsible for validation documentation and SOPs consistent with their GxP framework.
Dremio enforces column-level access controls and role-based data access policies that restrict PHI visibility to authorized users only. Polaris Catalog governs access at the query level so PHI fields are masked or restricted without changes to source systems or downstream pipelines.
Yes. Dremio federates clinical data from EDC systems, LIMS, biomarker repositories, and cloud storage through a single SQL query layer without extracting or centralizing data. Clinical data stays in validated source systems while researchers and data managers access unified queries for analysis and submission preparation.
Dremio is designed for petabyte-scale environments, as demonstrated by Genomics England’s 80-petabyte National Genomic Research Library. Autonomous Reflections accelerate repeated analytical queries on large genomic datasets without data replication, and the AI Semantic Layer maps genomic identifiers and clinical terminologies to study-level definitions for consistent self-service access.
Polaris Catalog enforces GDPR deletion requests at the Iceberg table level, propagating row-level deletions across all downstream query paths without pipeline changes. This allows data privacy obligations to be satisfied at the platform level without disrupting active research or commercial analytics workloads.
Yes. Dremio exposes a standard ODBC/JDBC and Arrow Flight SQL interface that connects to SAS, R, Python, Tableau, Power BI, and all major statistical and BI tools without configuration changes. Clinical data managers and RWE scientists continue working in their preferred tools while Dremio governs the data layer underneath.
