Senior Clinical Research Data Architect

September 17

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St. Jude Children's Research Hospital

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pediatric oncology • childhood cancer • sickle cell disease • cancer survivorship • clinical research

5001 - 10000 employees

Description

• Deliver cutting edge and robust cloud-based common data model(s) to support analytics solutions across the clinical and clinical research portfolios. • Become a trusted advisor to customers and consult on consistent and efficient ways to use data to solve problems and improve day to day research capabilities. • Mature institution-wide data and analytics capabilities that drive self-service/self-sufficiency and facilitate greater access to research networks and programs. • Understanding workflows, processes and terminology in the clinical and clinical research areas at St. Jude. • Build partnerships with customers and collaborators across the clinical and clinical research portfolios. • Collaborate with clinical and clinical research stakeholders, end users, leadership, and subject matter experts to understand current and future goals. • Drive and participate in technical planning & requirements gathering phases including design, code, test, support, and document engineering software applications. • Translate business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses. • Review design with team members to ensure institutional data management framework is being understood, followed, and matured within a defined governance structure. • Develop data integration pipelines from data sources to (and from) the Enterprise Data Warehouse - ETL/ELT. • Map disparate data sources (including legacy clinical data systems), data movement, interfaces, and analytics, with the goal of ensuring data quality. • Track data quality, completeness, redundancy, compliance and improvement. • Work closely with Solutions Architects, Business SMEs and other stakeholders throughout the analytics development lifecycle to ensure the delivery of robust and reusable data models. • Communicate with customer, project team in a timely manner and escalates issues & risks appropriately.

Requirements

• Bachelor's degree in computer science, data science, information science, business, or related field required. • Master's degree preferred. • Minimum experience: Four (4) years of IT experience in the design of databases and ETL processes preferably in comparable industry. • 2 years of exclusive data architecture experience. • Experience with Common Data Platform (CDM) and Common Data Models like i2b2, OMOP, or PCORnet. • Be versed in Cloud solutions (Microsoft Azure preferred, but familiarity with Amazon Web Services, Google Cloud Platform, Snowflake cloud encouraged) or Big Data solutions and related technologies. • Expertise in data architecture concepts such as data modeling, workflow management, ETL/ELT, real-time streaming). • Working knowledge of medical vocabularies (ICD, SNOMED, etc.). • Understanding data management and governance concepts such as data quality, metadata, dependency management, etc. • Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders. • Willingness and ability to learn, adapt and apply new technologies. • Preferred experience with Microsoft Azure/Synapse/Power BI and Epic EHR.

Benefits

• Explore our exceptional benefits!