Bengaluru
2 days ago
Clinical Data Engineer (SCE)

The Clinical Data Engineer role serves the purpose of fostering innovation and operational efficiency through the facilitation of data-driven decision-making processes, expediting drug discovery initiatives, and bolstering regulatory compliance efforts. This role involves designing and implementing customized data pipeline architecture solutions tailored to the complexities of life sciences research and development. It also includes supervising the integration and management of various clinical data and data sources to statistical computing environment.

 

Through close collaboration with statistical programming leads, biostatisticians, and DigitalX professionals, this role establishes and upholds robust data governance frameworks that align harmoniously with business objectives, regulatory mandates, and industry standards. This role will function as the system owner for statistical computing environment, with the responsibilities of decision making on the system changes and budgeting. This is a strategic position in advancing the life sciences company's mission by using data to drive scientific progress, improve patient outcomes, and efficiently and securely introduce ground-breaking therapies to the market.

 

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.

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