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Clinical Data Engineer

Full-Time Mumbai, India
Health & Biotech
Health & Biotech
30 October 2024
Description
  • 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.
  • Data architecture and engineering experience

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