KEMRI is hiring a Data Clerk to manage research data, enter and verify information, maintain databases and support data management processes. The role is based in Kisumu and familiarity with data entry systems is required.
Key Responsibilities:
- Accurately enter participant information and study data into
electronic data capture systems in accordance with study protocols, SOPs,
and Good Clinical Practice (GCP) requirements.
- Review Case Report Forms (CRFs), questionnaires, and source
documents for completeness, accuracy, consistency, and timely resolution
of data discrepancies.
- Conduct routine data cleaning, validation, source data verification,
and discrepancy resolution in collaboration with study nurses, laboratory
staff, investigators, and the data management team.
- Maintain organized participant files, source documents, study logs,
specimen tracking records, and other study documentation in compliance
with study SOPs, GCP, and regulatory requirements.
- Track participant visit schedules, identify missing or overdue data,
and generate routine data quality, recruitment, retention, and participant
tracking reports to support study implementation.
- Support the maintenance of study databases, data management
documentation, and the preparation of study reports, presentations, and
data requests.
- Participate in study meetings, trainings, monitoring visits, audits,
inspections, quality improvement activities, and the development and
review of study SOPs.
- Ensure compliance with study protocols, institutional policies,
ethical guidelines, data protection requirements, and perform any other
study related duties assigned by the Supervisor.
Qualifications
- Bachelor’s Degree in Degree in Data Management, Statistics or any
related field. Mandatory
- Proficient in statistical packages eg stata, R SPSS or SQL
programming. Skills & Competencies
- Familiarity with data entry systems, databases, and software such as
Inform, REDCap, Rave or other basic database tools.
Skills & Competencies
- Basic understanding of data quality assurance and data validation
principles. Skills & Competencies
How to Apply
