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We're hiring on behalf of a Haystack partner!
The Role
- Design and manage data architecture for scientific discovery, clinical development, regulatory compliance, and operational efficiency
- Define and promote the future-state vision for R&D data architecture
- Own the enterprise data model and define master data sources
- Ensure integration across platforms and serve as the interface between R&D and enterprise I&T
- Lead the design, development, and evolution of R&D data architecture
- Collaborate with diverse teams to align data architecture with R&D goals and business strategy
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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 the ability to operate at strategic and technical levels
- High learning agility and motivation to stay at the leading edge of data architecture
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What's On Offer
- Drive significant transformation in data and AI ambitions
- Opportunity to define and promote the future-state vision for R&D data architecture
- Work with cutting-edge technologies in data, integration, automation, and AI
- Collaborate with a diverse and experienced team
Apply via Haystack today!
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Skills
Data Architecture
Integration Patterns
Data Flow Models
Enterprise Data Models
Cloud-Native Data Architectures
Data Modelling
R&D Platforms
Clinical System Data Flow
Data Product Consumption Models
Strategic Thinking
Technical Skills
Collaboration
Automation
AI
Learning Agility
Motivation
Location