What do Clinical Data Managers do?

Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends.

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

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Necessary Skills

  • Monitoring
  • Reading Comprehension
  • Writing
  • Active Learning
  • Speaking
  • Critical Thinking
  • Active Listening
  • Mathematics