Clinical Data Engineer (RWD)

Responsibilities and Accountabilities :

• ​​​Responsible for data operations on AWS architecture. Activities include creating and monitoring the data load ETL processes, ensuring data quality, automation of the loads and continuous improvement.
• ​Collaborate with internal and external teams for data curation, cataloging and metadata management.
• Strong knowledge of RWD assets including data sources like IQVIA, SYMPHONY and various other OMICS sources.
• Ensure the operations schedule and knowledge base are maintained and communicated promptly to the end users.
• ​Assist in enforcing data governance and information management policies, SOPs, and standards to manage patient data in a secure and compliant manner.
• Strong proficiency in Python and Django framework including experience with web technologies such as HTML, CSS, JavaScript, and AJAX.
• Understanding of RESTful APIs and web services integration. Additionally, Familiarity with deployment tools such as Docker, Heroku, AWS, or Azure.
• Knowledge of database management systems, particularly PostgreSQL or MySQL.
• Experience with unit testing and test-driven development (TDD).
• Experience with JavaScript frameworks like React, Angular, or Vue.js and other modern API technologies.
• ​​Identify areas for improvement with current analytics tool sets and propose future state to support DigitalX use cases, analytics best practices, and regulations.
• ​Improving the delivery of large complex projects by implementing standard processes, tools, and templates that will be used consistently across Digital.
• Participate in several concurrent projects in Advanced Analytics Solutions for the various functions across Astellas in a fast-paced environment.
• Ensure the RWD Analytics environments are running at an optimal state and quickly resolve any technical issues.
• Participate in process improvements initiatives involving business areas.
• Collaborate with Advanced Analytics Solution teams to identify required technology architecture needs to design and implement a solution delivering near-term impact and aligned with long term strategies.
• Implement security requirements, metadata standards, data quality and testing procedures for the data lake / warehouse consistent with analytic and RWD best practices.

Requirements

Required Qualifications :

Preferred Qualifications :