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Staff Clinical Insights Data Systems Engineer

Stryker
Irvine, USA
Full-time
Senior · 4+ years experience
Hybrid
USD 110100-183400 yearly / year
Discovered 3 weeks ago
Microsoft 365Microsoft AzureMicrosoft FabricDatabricksAzure Data FactorySynapse

Full Job Posting

Workplace Flexibility

  • This is a hybrid role requiring the candidate to be within commuting distance to Irvine, CA. The work schedule is structured to support flexibility, with in-office presence required 3 days/week and remote work available the rest of the week. To qualify, candidates must be able to commute to the facility as needed.

What you will do

  • Own and serve as the primary architect for the enterprise clinical data platform, ensuring data availability, integrity, security, governance, and scalability across the ecosystem.
  • Design, develop, maintain, and optimize data lakes, pipelines, data models, and integrations that support clinical research, evidence generation, and business decision-making.
  • Integrate and harmonize data from clinical trial systems (EDC, CTMS), commercial platforms, quality and compliance systems, supply chain, device utilization, and enterprise applications.
  • Develop and enhance connections to internal collaboration and knowledge management platforms, including Microsoft 365, SharePoint, and other organizational data sources.
  • Lead the implementation of new data pipelines and platform enhancements to support clinical studies, strategic initiatives, and evolving business needs.
  • Evaluate and implement modern data engineering technologies, automation capabilities, advanced analytics, self-service reporting, and emerging AI-driven solutions.
  • Establish and maintain data architecture standards, governance frameworks, validation processes, derived datasets, and technical documentation to ensure high-quality, trusted data assets.
  • Partner with Clinical Affairs, Medical Affairs, Regulatory Affairs, Quality, Commercial, and IT teams to drive enterprise data strategy, provide technical leadership, and mentor technical contributors.

Required Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Biomedical Informatics, Engineering, or a related technical field, and a minimum of 4 years of experience in data engineering, data systems, data architecture, or a related technical discipline; or 6 years of equivalent professional experience in lieu of a degree.
  • Demonstrated experience designing, implementing, and supporting enterprise data platforms, data pipelines, and ETL/ELT workflows in production environments.
  • Experience integrating and managing data from diverse sources, including APIs, databases, file-based systems, SaaS applications, and other internal and external data repositories.
  • Experience with cloud-based data platforms and modern data architectures, including data lakes, data warehouses, and related technologies. Experience with Microsoft Azure, Microsoft Fabric, Databricks, Azure Data Factory, Synapse, or similar platforms preferred.
  • Understanding of data governance, data quality, privacy requirements, and data management practices within regulated or highly controlled environments.

Preferred Qualifications

  • Advanced proficiency in SQL, data modeling, and programming languages such as Python for data engineering, automation, and data integration solutions.
  • Experience implementing monitoring, logging, testing, automation, source control, and other modern software development and operational best practices.
  • Experience within the medical device, biotechnology, pharmaceutical, healthcare, or life sciences industries.
  • Experience working with clinical research data, clinical systems, and electronic data workflows, including EDC, CTMS, or related platforms; and/or with healthcare datasets, patient-level data, real-world evidence (RWE), or related healthcare analytics programs.
  • Exposure to generative AI technologies and the implementation of enterprise AI solutions leveraging organizational data assets.
  • $110,100 - $183,400 USD Annual

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