- Architect the Exchange Layer: Design and own the Common Data Models (CDMs) that serve as the universal language for scientific data across our customer base.
- Empower Forward Deployed Engineering: Create the data contracts and standardized definitions that FDEs rely on.
- Standardization vs. Flexibility: Strike the strategic balance between rigid global standards (for cross-customer exchange) and local flexibility.
- The "Forest" – Business Alignment: Translate high-level business goals into concrete data modeling strategies.
- The "Trees" – Hands-on Modeling: Roll up your sleeves to design and implement complex ontologies and taxonomies.
- Software & Data Engineering Integration: Work directly with Engineering to architect the software systems that consume these models.
- Data Contracts & Governance: Establish the "rules of the road" for data quality and consistency.
- Scientific Translation: Partner with Scientific Business Analysts to decode the complexity of biopharma R&D.
- Interoperability: Architect models that ensure our data is FAIR and ready for downstream AI/ML applications.
Software Development