Statistician at Infectious Diseases Institute (IDI), Kampala, Uganda

Data Management
Kampala, Uganda
October 15, 2024
Urgent
Application ends: October 25, 2024
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Job Description

Key Responsibilities

1. Advise and assist the research team on study design, sample size, data collection tools, and data analysis approaches during protocol development.

2. Perform data management activities for research studies carried out under the USAID LPHS  TB Activity and at the NTLP including but not limited to

a) development of data management plans

b) development of electronic research databases on tools

c) periodic data QA/QC of research databases.

3. Perform appropriate statistical analyses activities for research studies carried out under the  USAID LPHS TB Activity and at the NTLP including but not limited to

a) development of statistical analysis plans

b) carrying out statistical analyses and interpreting the results under guidance from a senior statistician.

c) contributing to the methods and analysis sections of manuscripts drafted by the USAID LPHS TB Activity staff and the NTLP staff

c) presentation of results for operations and interpretation of results for operations research studies carried out under the USAID LPHS TB Activity and at the NTLP

4. Plan, organize and conduct trainings in data management and basic statistical analysis skills and methodologies, and basic data analysis to USAID LPHS TB Activity staff and NTLP staff.

5. Collaborate with the Health Informatics Analyst to review research database file structure; develop, program, manage, and maintain complex statistical databases; perform or supervise data entry.

6. Advise on software needs for data management, data analysis and data visualization as per project needs.

7. Performs other duties as assigned by the supervisor.

Academic Qualifications

  • Masters Degree in Statistics,Biostatistics,Epidemiology

Person Specification

  • Must hold a Master Degree in Statistics,Biostatistics,Epidemiology 
  • Experience of 5 -10 years in application of advanced statistical analysis on clinical data in a research and/or programmatic setting.
  • Experience with qualitative data analysis techniques will be an added advantage.

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