Quantitative Data Manager/Analyst at Makerere University School of Public Health

Application deadline closed.

Job Description

TREAT Child alcoholism use Disorder (CAUD) in Eastern Uganda is a four year inter institutional project between Makerere University School of Public Health, Center for International Health, University of Bergen, The Norwegian University of science and Technology, University of Oslo and NKVST Norwegian Center for Violence and Trauma Stress.
This project will investigate the magnitude of child alcoholism and relevant health system, household, community, school system and clinical factors associated with the problem and suggest scalable changes in the health system for screening, diagnostic and treatment procedures in Uganda.
The scientific team, therefore, seeks to recruit responsible, qualified, and competent individuals who can work with minimum supervision to join its team as Data Manager and as Statistician to support the data cleaning process for a period of 3 months.

1.0. Quantitative Data Manager/Analyst – 1 Position
Reporting to: Study Coordinator
Period: Short-term contract

Summary of Responsibilities:
• Submit cleaned dataset ready for analysis
• Coordinate all steps in data collection and management.
• Support the review of the existing data management manuals and training materials.
• Design data cleaning, analysis, and reporting tools as may be required.
• Verify raw data sent from the field.
• Generate and transmit data queries to field teams for resolution.
• Resolve all data related issues raised with the datasets.
• Routinely compile data files.
• Compile and submit regular reports summarizing progress in data entry, data validation and cleaning.
• Ensure safety of all data/information handed over to them.
• Ensure that data is maintained in both soft and hard copies and backed up.
• Maintenance of the server
• Any other duties as may be assigned from time to time by the Study Coordinator.

Minimum qualification and experience
Bachelor’s degree is either Computer Sciences or information systems and a postgraduate training related to quantitative data management. Must have experience in managing large electronic datasets, able to manage data from various sources and conduct preliminary data analysis.

How to apply:
Interested persons should send their applications with the current CV to mkyabanabwe@musph.ac.ug , stating two referees and their contacts not later than Friday, March 24th, 2023, 5.00 pm.

NB: Only short-listed candidates will be contacted