RESPONSIBILITIES: The Study Data Manager (SDM) is a core member of Study Management Teams and serves as the study data management contact at the study and/or program level, providing expert guidance to program teams. The Study Data Manager leads the CDM study team and maintains oversight of all study start-up, study conduct and study close-out data management issues, activities and deliverables for one or more studies. The SDM interacts regularly with Clinical Data Management groups to ensure that project objectives are understood and met and provides technical coaching and mentoring on data management activities to colleagues. The SDM also performs the following: provides early strategic input into protocol design focused on data management issues; leads the development of eCRFs and database development and testing specifications by interacting with other functional area representatives; responsible for the oversight of all data review and cleaning activities involving close interaction with project clinical research professionals; responsible for the implementation of standards within Study Data Management across one or more CDM study teams; develops and executes ad hoc database queries utilizing data review and query tools; manages projects resourced externally via contract research organizations or corporate partners; provides support to ensure that study conventions, processes, knowledge sharing and best practices exist across all studies within a program; participates in departmental discussion groups, formal working groups or special projects. REQUIREMENTS: Requires a B.A./B.S. or equivalent with a minimum of 5 years experience in Clinical Data Management. Knowledge of core clinical data management applications (Clinical data management systems, electronic data capture, query tools, web browser, MS Office suite). Clinical data management system experience (EDC Medidata Rave preferred). Ability to apply advanced principles, theories and concepts for CDM as a whole. Understanding of the conceptual basis for data management conventions, standards and processes. Good understanding of the role of data management, biostatistics and statistical programming in the drug development process. Ability to develop solutions to complex problems. Ability to grasp industry trends and apply them to work within the organization. Ability to multi-task and effectively set own priorities. Strong organizational skills. Strong communication and interpersonal skills.
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