Description

Key Skills Data Engineering, ETL, Data Architecture, Data Governance, Data Quality, Artificial Intelligence, Clinical Trials, Software Development, Data Pipelines, Production Systems

Good to Have Skills

Experience with Contract Research Organization operations, Master Data Management, Data Modeling, Compliance with regulatory requirements, Mentorship capabilities, Debugging skills, Software design documentation, Business analysis, and Research methodologies.

Roles & Responsibilities

• Design and develop data architecture for new and existing applications and data sources.
• Establish Data Quality, Data Governance and Master Data Management Best Practices to maintain clean and accurate data.
• Design ETL frameworks and features to allow for robust and scalable data pipelines.
• Incorporate new pipelines into the existing data model, augmenting as needed for business requirements.
• Manage and maintain several production systems to ensure optimal performance and reliability.
• Engage with various internal cross-functional departments to strategically design, develop and implement data pipelines.
• Increase team productivity by developing, identifying, and implementing better tools and processes.
• Develop standard operating procedures for the use of artificial intelligence and data engineering principles within clinical trials.
• Prototype new ideas and technologies to create proof of concept and demos for stakeholders.
• Provide mentorship for other data engineers and act as a resource for team members.
• Maintain and develop ETL pipelines while following best practices for data quality and governance.
• Maintain an Enterprise Data Warehouse by updating translation logic and supporting warehouse servers.
• Deliver high quality software design documentation and contribute to code reviews and debugging activities.
• Ensure adherence to all essential systems and processes required to maintain compliance to business and regulatory requirements

Key Skills

Education

Any Graduate