Lead Clinical Research Associate – Internal Medicine

University of Texas Southwestern Medical Center; Dallas (TX); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off & holidays

On-site childcare

Merit increases

Job summary

UT Southwestern Medical Center is seeking a Clinical Research Data Coordinator to support ongoing and national studies with limited supervision. The role focuses on coordinating patient participation, research visits, data management, and ensuring data quality across diverse pulmonary and interventional studies.

Ideal candidates bring several years of data handling experience in clinical settings, familiarity with study protocols, and strong attention to detail.

Qualifications

• Education: High School Diploma or Associate's Degree in medical or science related field or Bachelor's Degree or higher in medical or science related field
• Experience: 4 years with High School Diploma or 2 years with Associate's Degree or 1 year with Bachelor's Degree or higher in clinical research mentoring program is desirable.

Responsibilities

• Assists with participant screening and recruitment for complex trials or multiple research studies.
• Conducts and documents consent for participants in studies and develops consent plans.
• Independently corrects and documents incomplete or missing data for complex studies.
• Schedules visits and coordinates research visits per protocol.
• Maintains data integrity and conducts QA/QC checks on data.

Skills

Data management

Research coordination

Regulatory understanding

PHI handling

Communication

Education

High School Diploma or Associate's Degree in medical/science field

Bachelor's Degree or higher in medical/science field

Tools

Spreadsheets

Databases

Web-based software

Job description

UT Southwestern Medical Center is seeking a Clinical Research Data Coordinator to support ongoing and national studies with limited supervision. The role focuses on coordinating patient participation, research visits, data management, and ensuring data quality across diverse pulmonary and interventional studies.

Ideal candidates bring several years of data handling experience in clinical settings, familiarity with study protocols, and strong attention to detail.