Clinical Data Specialist

Overview

• Contribute to clinical data management processes, ensuring high-quality data collection and analysis for clinical studies.
• Collaborate remotely with multidisciplinary teams to design and implement clinical protocols and data systems.
• Utilize advanced education and practical experience to deliver impactful results in clinical data management.
• Work independently on moderately complex projects, adhering to established policies and procedures.
• Develop systems for organizing and analyzing clinical data to identify trends and report findings.
• Provide strategic input into protocol design, focusing on data management issues.
• Prepare comprehensive reports of clinical trial studies for validation and cross-validation purposes.
• Mentor colleagues and guide entry-level professionals in clinical data management practices.

Key Responsibilities & Duties

• Collaborate on the design, documentation, testing, and implementation of clinical data collection studies.
• Develop and implement clinical protocols and data collection systems for studies.
• Manage data quality issues, ensuring cross-project consistency and standardization of Case Report Form modules.
• Create data quality plans and resolve discrepancies using standardized validation systems.
• Analyze and report clinical data trends, preparing detailed study reports.
• Communicate with internal contacts to share information, status updates, and support decision-making.
• Provide guidance to entry-level professionals and support their development in clinical data management.
• Recommend enhancements to systems and processes to improve job area effectiveness.

Job Requirements

• Bachelor of Science degree in a relevant field is required.
• Minimum of 4 years of experience in clinical data management or related areas.
• Preferred 5 years of experience demonstrating competence in clinical data processes.
• Proficiency in data management, quality management, and project management practices.
• Ability to work independently on complex projects with general supervision.
• Strong communication skills for collaboration and information sharing within teams.
• Experience in designing and implementing clinical protocols and data systems.
• Knowledge of standardized validation systems and procedures for resolving data discrepancies.