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Monitor work productivity or quality to ensure compliance with standard operating procedures.
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Track the flow of work forms, including in-house data flow or electronic forms transfer.
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Process clinical data, including receipt, entry, verification, or filing of information.
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Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency.
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Train staff on technical procedures or software program usage.
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Supervise the work of data management project staff.
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Design forms for receiving, processing, or tracking data.
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Provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs.
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Analyze clinical data using appropriate statistical tools.
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Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems.
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Develop or select specific software programs for various research scenarios.
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Design and validate clinical databases, including designing or testing logic checks.
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Write work instruction manuals, data capture guidelines, or standard operating procedures.
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Prepare appropriate formatting to data sets as requested.
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Develop technical specifications for data management programming and communicate needs to information technology staff.
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Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation.
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Develop project-specific data management plans that address areas such as coding, reporting, or transfer of data, database locks, and work flow processes.
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Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols.
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Prepare data analysis listings and activity, performance, or progress reports.
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Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.
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Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data.