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Job Description
Research Data Coordinator II
Job Summary
The Research Data Coordinator II (RDC II) is a fully proficient, autonomous role responsible for the comprehensive review and synthesis of information from various medical records. This includes, but is not limited to, clinic notes, pathology reports, radiology reports, and patient questionnaires.
The primary objective is to accurately extract data for industry, cooperative, and investigator-initiated trials, strictly adhering to the specifications of assigned research protocols. This position manages protocol-specific data requirements for multiple research projects concurrently, ensuring all data practices comply with Good Clinical Practice (GCP) and Federal regulations.
The RDC II routinely handles complex tasks, independently determining optimal methods and procedures for data requirements, query resolution, and efficient data capture. Collaboration with study coordinators and monitors is a key aspect of the role, ensuring alignment with protocol specifics.
This position supports a higher patient volume and/or manages trials of greater complexity compared to lower-level research data coordinators. The workload is inherently more complex and comprehensive, and the RDC II assists less experienced team members. Opportunities for career growth within the Research Data Coordinator path are available.
Key Responsibilities
- Autonomous Data Review & Synthesis: Independently reviews and synthesizes information from diverse medical records (clinic notes, pathology, radiology, patient questionnaires) to extract trial data.
- Protocol Adherence: Extracts data precisely as specified by assigned industry, cooperative, and investigator-initiated research protocols.
- Multi-Project Management: Manages protocol-specific data requirements for multiple research projects simultaneously.
- Regulatory Compliance: Ensures all data requirements and practices align with Good Clinical Practice (GCP) and Federal regulations.
- Complex Task Management: Routinely handles complex data management tasks.
- Method & Procedure Determination: Independently determines methods and procedures for data requirements, query resolution, and data capture processes.
- Collaborative Communication: Collaborates effectively with study coordinators and monitors regarding protocol requirements and data integrity.
- Higher Volume/Complexity Workload: Manages a higher volume of patients and/or trials of increased complexity.
- Mentorship: Assists and guides less experienced team members.
- Presentations: Presents relevant information in department meetings as appropriate.
Required Qualifications
Minimum Experience
- High School Diploma/GED with three (3) years of data management experience required.
- OR
- Associate of Arts (AA) / Associate of Science (AS) degree plus one (1) year of clinical or research data management experience is acceptable in lieu of the above.