The Scientific Data & Products (SDP) group in Research Informatics (RX) is driven to maximize the impact and value to BR of software and data. We deliver powerful, functional, beautiful, and integrated software solutions that create a frictionless user experience. Our organization is here to build and apply excellence in product and data management to further Novartis drug discovery.
As a Data Architect you will design an efficient, elegant, and high-performance data architecture and flow of data through the data systems backing our scientific data products. You will work closely with colleagues in product management, data engineering, business analysis and user experience, data science, and information security and risk management teams to deliver on our product vision. You will create an efficient, secure, compliant, performant, and sustainable data landscape which will be crucial for successfully achieving RX’s strategic goal of democratizing access to BR’s data.
Independently design enterprise-quality data architecture sitting behind our products
Frequently update the design to reflect learnings from our agile product teams
Factor in BR- and Novartis-wide data ecosystem impact
Define, initiate and/or drive solutions that enable smooth user experience of data flow and connectivity through entire processes across scientific domains with enterprise level impact
Design, implement and maintain security/infrastructure requirements for development / testing environment, OR design, implement and keep technology stack of relevant products for development, test and production use support OR manage application infrastructure including application infrastructure design input, application installation and deployment and operational management of the application infrastructure
Work in close collaboration with Architecture and Operations to integrate new solutions, ensuring timely and cost-effective delivery of solutions required for new projects and high integration of components
Ensure controls are in place for all configuration items and only authorized changes are made for all assets within enterprise IT environment
Ensure creation of detailed solution/service design matching high level designs and functional specifications to meet quality and performance requirements and ensure the quality, cost and timelines of feature and product implementations OR install applications per approved designs, acting as DevOps lead ensuring infrastructure is deployed/developed to meet technical design, and operationally manage application infrastructure, taking preventive measures to avoid unplanned outages
A successful candidate must have extensive expertise in data architecture and experience with scientific data types used in drug discovery including biology, chemistry, and clinical data. Additional skills are required in the area of process change management and with the alignment of non-IT scientists behind strategic data management goals and initiatives.
Expertise in data architecture, data engineering, or software engineering
Excellent knowledge in at least two of BR’s core data areas (molecular biology, chemistry/chemical biology, clinical)
Experience with developing or supporting standard IT products used in these core data areas together with an excellent understanding of the data flows between those
Proven experience with architecting IT solutions that enable laboratory data workflows on a global company level
Proven drive for ensuring data consistency
Consensus-building skills and ability to win others in IT and science to follow a shared vision
Outstanding communication skills and excellent stakeholder management
Experience with agile software development
Experience with linked data concepts, technologies, and tools
Master’s degree (or equivalent experience)
~ Excellent technical skills with at least 10 years experience as a data architect, data engineer, or software engineer
~5+ years experience creating scientific software, or working in a drug discovery environment or related scientific field
~ Proven experience in managing scientific domain-specific data and metadata
~ Experience in the practice of agile software development processes
~ Experience with distributed data processing and management systems
~ Experience in working with ontologies and managing data described in RDF
~ Proficiency in English (Oral & Written)
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