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Clinical Data Engineer (SCE)

Clinical Data Engineer (SCE)

Astellas Pharma Inc.Bengaluru
20 days ago
Job description

Responsibilities and Accountabilities :

  • Support developing and maintaining comprehensive architecture strategies tailored to the needs of maintain clinical trial data analysis and submission.
  • Oversee the installation, configuration, and maintenance of statistical computing environments (e.g., SAS)
  • Develop and implement data strategies to ensure the accuracy, integrity, and security of clinical data.
  • Provide technical support and guidance to users of the statistical computing environment.
  • Work closely with other DigitalX members and data professionals to integrate the statistical computing environment with other systems and workflows.
  • Support designing scalable SCE architectures to manage large volumes of clinical data including real world data.
  • Oversee development of APIs, interfaces, and middleware solutions for seamless communication between clinical software systems and databases.
  • Lead or participate in projects related to system upgrades, migrations, or new implementations.
  • Monitor system health, data integrity, and performance metrics using monitoring tools and implement proactive measures to address issues and bottlenecks.
  • Liaise with software vendors and service providers to address issues, manage licenses, and negotiate contracts.
  • Manage project timelines, and deliverables.
  • Stay updated on industry trends and advancements to recommend and implement new tools or practices.

Requirements

Required Qualifications :

  • Bachelor of Science degree in Computer Science, Information Systems, Data Science, or a related field.
  • Minimum of 5 years of relevant experience working in in data architecture, engineering roles or related roles within a healthcare industry.
  • Experience in statistical computing environments such as SAS, or similar tools
  • Preferred Qualifications :

  • Master of Science degree in Computer Science, Information Systems, Data Science, or a related field.
  • 5+ years’ of demonstrated experience in Life Sciences industry.
  • Knowledge of operating systems (e.g., Linux, Windows) and experience in system configuration, maintenance, and troubleshooting
  • Proficiency in programming languages commonly used in data management and analysis, such as SQL, SAS, R.
  • Understanding of networking concepts and security practices to safeguard data and systems.
  • Experience in managing projects related to system upgrades, installations, or integrations.
  • In-depth understanding of life sciences business processes, adept at translating business requirements into effective technical solutions.
  • Experience with Agile methodology and mindset.
  • Excellent verbal and written communication skills to interact with users, stakeholders, and vendors effectively.
  • Project management capabilities, ensuring adherence to timelines for successful solution delivery.
  • Demonstrated leadership skills, including guiding technical teams, offering mentorship, and influencing architectural decisions.
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