Data Manager – CONNECT4Health Project at Makerere University School of Public Health (MakSPH)

Job Summary

Key Responsibilities

• Develop, configure, and maintain electronic project databases using REDCap.
• Create data-quality checks, automated cleaning queries, and validation processes.
• Support database improvements to meet project data requirements.
• Maintain accurate and reliable project data systems.

• Develop and implement data-management procedures.
• Establish quality assurance and quality control standards.
• Conduct routine database reviews and identify data inconsistencies.
• Monitor data accuracy, completeness, and reliability.

• Coordinate data entry activities across participating districts and health facilities.
• Supervise data collection and entry processes.
• Provide technical guidance to project teams involved in data management.
• Ensure timely availability of quality project data.

• Support project teams in using data management systems effectively.
• Ensure compliance with technical, ethical, and legal data requirements.
• Promote responsible handling and protection of health-related information.
• Maintain confidentiality and integrity of project databases.

• Generate performance reports and data visualisations.
• Provide data summaries for quarterly project reports.
• Support project decision-making through accurate data insights.
• Assist teams with basic statistical analysis.

• Train project staff on data management practices.
• Provide guidance on database use and data quality procedures.
• Build staff capacity in basic statistical analysis and reporting.

• Implement measures to protect project databases from security breaches.
• Maintain secure data archives and backups.
• Prevent data loss through proper data management practices.

Required Qualifications

• Master’s degree in Biostatistics or an equivalent qualification.
• Academic background in Statistics, Medical Statistics, Biostatistics, Epidemiology, or a related field.
• At least five years’ experience working in a similar data management role.
• Experience developing and managing electronic databases.
• Experience working with longitudinal data systems.
• Knowledge of interoperable data systems and health information systems.
• Strong understanding of data quality management principles.

Required Skills and Competencies

• REDCap database management skills.
• Data cleaning and validation expertise.
• Database development experience.
• Statistical analysis skills.
• Health research data management experience.
• Data visualization and reporting skills.
• Knowledge of data protection and confidentiality standards.
• Quality assurance and quality control expertise.
• Strong analytical and problem-solving abilities.
• Attention to detail.
• Ability to train and support project teams.
• Excellent communication and teamwork skills.
• Ability to work with multidisciplinary teams.

Career Opportunities

• Senior Data Manager
• Biostatistician
• Health Information Systems Specialist
• Monitoring and Evaluation (M&E) Specialist
• Research Data Analyst
• Public Health Data Specialist
• Clinical Data Manager
• Epidemiological Data Specialist
• Data Science Specialist

How to Apply

• A one-page typed application letter addressed to the Dean, Makerere University School of Public Health.
• Updated curriculum vitae including names and contacts of at least two referees.
• Copies of relevant academic certificates.

Application Deadline

Interview Preparation Tips

• Reviewing REDCap database management concepts.
• Understanding health research data workflows.
• Preparing examples of previous database projects.
• Demonstrating experience with data quality assurance.
• Explaining approaches to protecting sensitive health information.
• Highlighting experience training teams on data systems.
• Reviewing statistical analysis and reporting methods.

CV Tips for Data Manager Applicants

• Database management experience.
• REDCap and electronic data capture expertise.
• Biostatistics or statistics qualifications.
• Health research project experience.
• Data quality improvement achievements.
• Statistical software knowledge.
• Reporting and visualization skills.
• Experience managing large datasets.
• Training and team supervision experience.