Clinical Data Manager Location: Charleston, SC

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100,000 - 200,000

Job Description:

Knowledge, Skills And Abilities

  • DM Project Management for stand-alone Data Management Project(s); Coordinate the work of project team assigned to the project
  • Perform analyses on complex and varied healthcare data to evaluate clinical performance, outcomes, and population's health
  • Extract data from multiple data sources and use programming techniques to create meaningful reports
  • Employ appropriate research study designs and statistical analysis procedures depending upon the specific program, outcomes and business questions.
  • Investigate and evaluate alternative solutions to meet business needs documents methods, specifications and findings clearly; write/present results, findings and conclusions
  • Create/evaluate data needs of assigned projects and assures the integrity of data
  • Project and resource management
  • Participate in the development of project plans and timelines
  • Manage projects and customer expectations to achieve satisfaction
  • Responsible for commitments to quality and on-time deliverables
  • Maintain total confidence, all files, documents and records that pertain to the operation of business of Cap Management Systems
  • All other job related duties as it relates to the job function or as delegated by the management team

Advanced computer skills

  • Strong mathematical and statistical skills with strong emphasis on analysis of large databases
  • Excellent proficiency in Microsoft Office Suite (Word, Excel, Access and Power Point and Visio)
  • Strong problem solving and critical thinking skills with demonstrated ability to focus on details
  • Ability to learn quickly and work on multiple projects simultaneously, and demonstrated ability to work in a fast-paced, demanding, and stimulating environment
  • Must be a team player and able to work independently as well as take direction from the supervisor, with strong collaboration and communication skills within and across teams
  • Advanced programming techniques, relational databases, data systems and data warehouses

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