Data Manager

Reports Directly to: The Principal Investigator Quite4Life Project at CTCA through the CO-I, Leading Statistics and Data Management.

Directly Supervises: None

Duty Station: Kampala, Uganda

Job purpose

The objective of recruiting a Data Manager is to manage the quantitative data collected. Therefore, the project seeks to recruit a professional who will be responsible for managing the study data.

The Data Manager will;

• Participate in the design of the data collection tools, data collection, and analysis
• Take lead in the design of electronic data entry/capture files/ formats
• process data collection, and completing data collection tools
• Take lead the development of data collection and data management standard operating procedures
• Prepare regular checks on study data to help project management teams monitor data flows and data quality issues during the conduct of a study.
• Ensure accuracy, accessibility and data security and confidentiality, and storage of study data files and subject records.
• Participate in the preparation and execution of dissemination activities. These will include the preparation of technical reports, publications, blogs, PowerPoint presentations and engaging in-country stakeholders in dissemination activities.
• Participate in manuscript writing.
• Participate in meetings
• Execute any other data management related duties that may be assigned from time to time.

Qualifications, Skills and Experience:

Suitable applicants MUST possess

• A master’s degree in either Biostatistics, Epidemiology and Statistics, or equivalent degrees.
• At least two years of demonstrated relevant experience in managing health-related project research data, for projects of similar size and design.
• Demonstrated statistical programming skills in statistical software and database management particularly using STATA, R and other any other relevant software.
• Demonstrated experience in analytical skills and data management for projects of similar size and design.
• Ability to work independently with minimal supervision, strong interpersonal communication, and ability to work with diverse sectors as well as meeting deadlines.
• Ability to process, analyse, and present study results in a quality publishable format.
• Experience in database design and data management.