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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.
- Own the enterprise data model, define master data sources, and ensure integration across platforms.
- Lead the design, development, and evolution of R&D data architecture.
- Collaborate with R&D stakeholders and product teams to align data architecture with business strategy.
- Evaluate emerging data trends and propose innovations to enhance R&D productivity.
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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.
- Strong knowledge of data modeling best practices.
- Ability to communicate complex architectural concepts to cross-functional audiences.
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What's On Offer
- Opportunity to drive significant transformation and accelerate data and AI ambitions.
- Be at the forefront of shaping digital initiatives within R&D.
- Collaborative environment with a focus on innovation.
- Hybrid work mode.
Apply via Haystack today!
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Skills
Data Architecture
Integration Patterns
Data Flow Models
Enterprise Data Models
Cloud-Native Data Architectures
Data Modeling
Communication
Collaboration
Location