Clinical Data Manager Job Description

The Clinical Data Manager is responsible for managing and overseeing all aspects of data collection, storage, and analysis in a clinical research setting. They ensure that data is accurate, complete, and compliant with regulatory requirements.

Responsibilities

  • Design and implement data management plans for clinical trials
  • Develop and maintain data management documentation, including data management plans and standard operating procedures
  • Coordinate with cross-functional teams to ensure data collection and database design meet study requirements
  • Conduct data validation and quality control checks to ensure data integrity
  • Manage and track all data management activities, including data entry, data coding, and data cleaning
  • Troubleshoot data-related issues and provide solutions to ensure timely and accurate data delivery
  • Collaborate with statisticians and clinical teams to support data analysis and reporting
  • Ensure compliance with regulatory requirements and industry best practices in data management
  • Stay up-to-date with the latest developments and trends in clinical data management

Qualifications

  • Bachelor's degree in life sciences, biostatistics, or a related field
  • Strong knowledge of clinical data management principles and practices
  • Experience with electronic data capture (EDC) systems and clinical trial management systems (CTMS)
  • Familiarity with regulatory guidelines (e.g., FDA, ICH, GCP) and data standards (CDISC)
  • Excellent attention to detail and problem-solving skills
  • Ability to work effectively in a fast-paced and deadline-driven environment
  • Strong communication and interpersonal skills
  • Experience with data management software and tools (e.g., SAS, R, SQL)
  • Certification in clinical data management (e.g., CCDM) is a plus

Skills

  • Clinical data management
  • Data validation
  • Data cleaning
  • Database design
  • Regulatory compliance
  • Statistical analysis
  • Problem-solving
  • Attention to detail
  • Interpersonal skills
  • Technical skills (SAS, R, SQL)

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