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We're hiring on behalf of a Haystack partner!
The Role
- Design and manage data architecture connecting scientific discovery, clinical development, regulatory compliance, and operational efficiency
- Define and promote the future-state vision for R&D data architecture (the City Plan)
- Guide critical architectural decisions shaping digital initiatives, owning the enterprise data model and defining master data sources
- Ensure integration across platforms and serve as the interface between R&D and enterprise I&T, spanning data, integration, automation, and AI
- Lead the design, development, and evolution of R&D data architecture
- Evaluate emerging data trends and propose innovations to enhance R&D productivity and enable next-generation research solutions
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What You'll Need
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
- 8+ years of experience in data architecture, with at least 3 years in an R&D biotech or pharma environment
- Proven track record in integration patterns, data flow models, enterprise data models and cloud-native data architectures
- Experience with R&D platforms in biotech or pharma, including clinical system data flow and data product consumption models
- Strong knowledge of data modelling best practices and ability to operate at strategic and technical levels
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What's On Offer
- Drive significant transformation by accelerating data and AI ambitions
- Opportunity to define and implement a brand new R&D Data Architecture City Plan
- Contribute to end-to-end data flow models and comprehensive architectural documentation
- Engage in integration, platform, automation, and AI data architecture designs
Apply via Haystack today!
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Skills
Data Architecture
Data Modeling
Enterprise Data Model
Cloud-native Data Architecture
Integration Patterns
Data Flow Models
R&D Data Architecture
Master Data Management
AI Data Architecture
Automation
Clinical System Data Flow
Data Product Consumption Models
Strategic Planning
Technical Leadership
Location