The Clinical Data Coordinator (Intern/Fresher Level) plays a crucial role in ensuring the integrity and quality of clinical trial data. This position offers a valuable entry point into the field, providing hands-on experience in core data management tasks and industry best practices.
Key Responsibilities:
- Data Entry and Verification:
- Meticulous data entry into electronic data capture (EDC) systems.
- Verify data accuracy and consistency against source documents (e.g., Case Report Forms).
- Learn to identify and flag potential data discrepancies.
- Query Generation and Resolution:
- Develop an understanding of data discrepancies and their underlying causes.
- Assist in generating data queries to clarify issues with clinical sites.
- Track and follow up on resolution of data queries.
- Database Maintenance:
- Participate in database lock and maintenance procedures under supervision.
- Assist in implementing changes or updates to the EDC system.
- Reports and Metrics:
- Learn to generate basic data cleaning reports.
- Gain exposure to data quality metrics and key performance indicators.
- Process Improvement:
- Actively contribute ideas to streamline data cleaning and review processes.
Qualifications:
- Fresher Recent graduate with a degree in life sciences, statistics, computer science, health informatics, or a related field.
- Intern: Currently enrolled in a relevant degree program in the fields mentioned above.
- Exceptional attention to detail and commitment to accuracy.
- Basic proficiency in Microsoft Excel.
- Solid interest in data management and clinical research.
Desired Skills:
- Prior experience in a healthcare or research setting.
- Familiarity with medical terminology.
- Exposure to clinical database systems (EDC).
- Knowledge of Good Clinical Practice (GCP) guidelines (training will be provided).
What You'll Gain:
- In-depth understanding of clinical data flow and data cleaning processes.
- Proficiency in using electronic data capture (EDC) systems.
- Experience with data quality review and query management.
- Appreciation for regulatory requirements in clinical data management.
- Mentorship from experienced data management professionals.