Develop and maintain comprehensive data streaming architecture strategies tailored to the needs of Clinical and Operational data management.
Design, develop, and maintain robust data pipelines to ingest, process, and transform clinical data from various sources.
Develop and implement data strategies to ensure the accuracy, integrity, and security of clinical data.
Lead all data engineering tasks and implement ETL (Extract, Transform, Load) processes to ensure efficient data flow and transformation.
Optimize data workflows and performance through automation, parallel processing, and data partitioning techniques.
Design scalable data pipeline architectures to handle large volumes of clinical data.
Develop APIs, interfaces, and middleware solutions for seamless communication between clinical software systems and databases.
Ensure data compatibility and compliance with industry standards such as HL7, FHIR, ICH M11, and others.
Implement security controls, encryption mechanisms, redaction logic, and access management policies to protect sensitive data from unauthorized access, breaches, and cyber threats.
Monitor compliance with healthcare regulations such as HIPAA, GDPR, and other data privacy laws, and implement measures to address potential risks and vulnerabilities.
Monitor system health, data integrity, and performance metrics using monitoring tools and implement proactive measures to address issues and bottlenecks.
Document data architecture designs, technical specifications, and operational procedures to facilitate knowledge transfer and support ongoing maintenance and enhancements.
Provide guidance, training, and mentorship to team members and stakeholders on best practices in data management, architecture, and engineering.
Work closely with cross-functional teams including data mangers, clinical leads, statisticians, statistical programmers, researchers, DigitalX members, and regulatory experts to understand requirements and priorities for clinical data management and analysis.
Participate in data governance initiatives to standardize data practices and ensure compliance with organizational policies.
Stay abreast of emerging technologies, trends, and best practices in clinical data management, architecture, and engineering.
Qualifications
Bachelor of Science degree in Computer Science, Information Systems, Data Science, or a related field.
10+ years of relevant experience working in in data architecture, engineering roles or related roles within a healthcare industry.