Clinical Data Engineer

· ​​​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. 

Required Qualifications:

· Bachelor of Science degree in Computer Science, Information Systems, Data Science, or a related field.

· 5+ years of relevant experience working in in data architecture, engineering roles or related roles within a healthcare industry.

· Data architecture and engineering experience

Preferred Qualifications:

· Master of Science degree in Computer Science, Information Systems, Data Science, or a related field.

· 3+ years’ experience in Life Sciences industry

· Expertise in ETL, data modelling, and data integration techniques.

· Proficiency in programming languages commonly used in RWD data ingestion, such as Python, and Django framework.

· Expertise in working with web technologies such as HTML, CSS, JavaScript, and AJAX

· Strong command in RESTful APIs and web services integration.

· Knowledge of database management systems, particularly PostgreSQL or MySQL

· In-depth understanding of life sciences business processes, adept at translating business requirements into effective technical solutions.

· Innovative problem-solving abilities for addressing complex data-related challenges.

· Experience with Agile methodology and mindset.

· Excellent communication and interpersonal skills, enabling effective collaboration with cross-functional teams, business stakeholders, and technical experts.

· Project management capabilities, ensuring adherence to timelines for successful solution delivery.

· Relevant certifications in cloud computing and data engineering tools/platforms are advantageous.