Clinical Research Data Specialist II: Data Integrity & Compliance

Socket.dev; Miami (FL); On-site; USD 55,000 - 75,000; Full time

Job summary

University of Miami Health System is seeking a Clinical Research Data Specialist 2 in Miami to independently create, update, and maintain research charts and case report forms, with limited supervision from the PI and supervisor. You will compile, register, and submit data, monitor protocol compliance, and ensure regulatory alignment.

The role involves coordinating monitoring visits, maintaining study docs, and ensuring timely, accurate data entry and data integrity across multiple studies in a

Qualifications

• High School Diploma or equivalent or relevant experience with any required certification or license.
• Minimum 2 years of relevant experience in clinical data management or research data handling.
• Experience working with data capture systems and regulatory documentation is preferred.

Responsibilities

• Review and abstract medical records for research participants across studies.
• Enter clinical and research data into data capture systems with accuracy and timeliness.
• Ensure data quality, completeness, and protocol adherence.
• Respond to data clarifications and escalate complex issues when needed.
• Prepare materials for monitoring visits and address post-visit follow-up items.
• Maintain source documentation and study logs to support compliance and inspections.

Skills

Learning Agility

Teamwork

Technical Proficiency

Communication

Education

High School Diploma or equivalent/relevant experience, certification or license

Job description

University of Miami Health System is seeking a Clinical Research Data Specialist 2 in Miami to independently create, update, and maintain research charts and case report forms, with limited supervision from the PI and supervisor. You will compile, register, and submit data, monitor protocol compliance, and ensure regulatory alignment.

The role involves coordinating monitoring visits, maintaining study docs, and ensuring timely, accurate data entry and data integrity across multiple studies in a