To address these challenges, the team implemented a centralized biomedical data lake and enabled automated natural language processing (NLP) pipelines to streamline research and discovery:
Multi-Omics Data Integration
Unified genomics, proteomics, and transcriptomics datasets for comprehensive analysis during early-stage R&D.
Centralization of Research Repositories
Aggregated internal findings and reports from Jazz Pharma alongside public databases (e.g., ChEMBL, UniProt, FDA, EMA).
NLP-Powered Query & Discovery Engine
Enabled scientists to run advanced natural language queries on the entire data lake, uncovering patterns across articles, notes, and publications in seconds.
Unified View of Structured & Unstructured Data
Created a single source of truth for drug targets, pathways, and therapeutic candidates.