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Clinical Data Engineer (RWD)

Clinical Data Engineer (RWD)

Astellas Pharma Inc.bangalore, India
11 hours ago
Job description

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 :

  • 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.
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