• Supervise collection of quantitative data • Conduct data cleaning and manipulation to generate analyzable datasets. • Analyse quantitative data, particularly longitudinal datasets and time series data. • Develop statistical models and perform data analyses using appropriate software (e.g., Stata, R, SAS). • Conduct quality control of statistical data, ensuring the validity and reliability of the analysis. • Collaborate with the study team to interpret results and contribute to the preparation of reports and publications. • Contribute to the design and implementation of data analysis plans and methodologies. • Support the development of reports and manuscripts from analysis. • Perform other tasks as assigned by the Principal Investigator.

• Master’s degree in Biostatistics or a closely related field (or nearly completed). • Proficiency in statistical software: Stata, R, or SAS (candidates must be highly competent in at least one of these). • Experience in analyzing longitudinal datasets and time series data is essential. • Strong background in statistical modelling and data analysis techniques. • Experience in managing and analyzing health-related data, especially HIV-related data is an added advantage. • Excellent analytical, organizational, and communication skills. • Ability to work independently with minimal supervision and meet deadlines.

Applications and supporting documentation shall be submitted as one PDF file to recruitment@musph.ac.ug (addressed to the Dean – School of Public Health) Please quote the position you are applying for in the subject head of your email and provide a reliable 24-hour phone contact. Only short-listed candidates will be contacted. Deadline: 18th December 2024 by 5:00pm