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Job Summary
This position is a data management/programming position for the Cardiovascular Genetics Center within the Cardiovascular Division. The primary role of the data manager/programmer will include database creation and improvement, data management, and data cleaning as well as report generation for ongoing clinical epidemiological research projects, including large cohort studies and genetic-epidemiological studies. Duties include programming (SAS, R), database creation (REDCap or SQL), data management, data harmonization and cleaning, report design and generation, user interface design, and creation and maintenance of SOPs/documentation. The RDM will oversee the merging and tracking of multiple streams of data, including demographic data, longitudinal cardiac imaging and clinical data, and genomics data. With oversight from lead statisticians, will assist in statistical analyses. The RDM will provide input on improving data capture, assist with implementation and oversight of data management and maintenance (e.g. documentation, SOP creation), assist with intermediate and final report generation, provide quality assurance monitoring and monitoring for data anomalies from data input from various sources and sites, conduct basic statistical analyses, and to assist with preparation of manuscripts and grant applications.
Principal Duties and Responsibilities:
- Develops and maintains SOPs for data collection, data management, and reporting procedures for the program and for specific projects.
- Performs programming in SAS or R to support data curation, harmonization and maintenance activities across multiple studies, to assist with maintaining the integrity of collected data over time, and to allow transfer of complex physiological and biological data captures using proprietary software to the department’s databases.
- Performs statistical/data programming and basic analysis, and summarizes data with appropriate descriptive statistics as necessary.
- Assists in the building and maintaining of SQL or REDCap databases to support data capture, data checking, and analytic dataset preparation for ongoing projects.
- Maintains detailed written documentation of created databases and data dictionari