The role involves supporting clinical trial data operations through the programming of edit checks and macros. The individual will design and optimize pipelines for the extraction and transformation of data from various sources. Responsibilities include developing documentation for databases and clinical report forms while ensuring data quality and integrity. The position requires collaboration with cross-functional teams to support analytics and model pipelines. Additionally, the role involves conducting data automation tasks and managing system performance.

Candidates must possess at least two years of experience in clinical data management, ETL/ELT pipeline development, and SAS programming. Proficiency in database administration, software testing, and REST API integration is required. A bachelor’s degree is mandatory, with a preference for advanced degrees in quantitative fields such as computer science, data science, or statistics. Familiarity with data automation and the software development life cycle is also necessary for this role.