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Stage Statisticien Data Analyst Makerere University 2026

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L’essentiel de l’offre

  • Poste : Intern or Mentee – Statistician / Data Analyst
  • Employeur : Makerere University School of Public Health (MakSPH) – Centre for Maternal, Newborn and Child Health (MNCH Centre)
  • Lieu : Uganda
  • Contrat : Internship / Mentorship (Long-term)
  • Date limite : 30 September 2026
  • Niveau requis : Background relevant to statistics, data science, epidemiology, public health or related disciplines

Contexte

The Makerere University School of Public Health (MakSPH) is inviting applications for an Intern or Mentee – Statistician / Data Analyst opportunity at the Centre for Maternal, Newborn and Child Health (MNCH Centre) in Uganda. The opportunity is designed for individuals interested in gaining practical experience in statistics, data analysis and public health research while working within an academic and research environment. The position is listed as a long-term opportunity. The internship is hosted by the Centre for Maternal, Newborn and Child Health (MNCH Centre) at Makerere University School of Public Health. The centre conducts research and supports programmes focused on maternal, newborn and child health, creating opportunities for interns and mentees to gain exposure to applied public health research. The Statistician / Data Analyst role provides an opportunity for an individual to develop practical skills while supporting research activities involving data and statistical analysis.

Missions et responsabilités

Depending on the specific duties assigned, the successful intern or mentee may gain experience relevant to:

  • Public health research
  • Statistical analysis
  • Data management and interpretation
  • Research data quality
  • Quantitative research methods
  • Evidence generation
  • Academic and research collaboration
  • Application of data to health-related decision-making

Profil recherché

  • Individuals interested in developing their experience in statistics, data analysis and public health research
  • Candidates with an academic or professional background relevant to statistics, data science, epidemiology, public health or related disciplines
  • Applicants prepared to work in a research environment
  • Candidates able to demonstrate an interest in applying analytical skills to public health questions

Conditions et avantages

The opportunity may be particularly useful for individuals seeking to build experience before progressing into further study, research or careers in public health data analysis. For aspiring public health researchers and data analysts, the opportunity offers exposure to a university-based research environment. Experience gained through an internship or mentorship can help candidates build practical skills that complement classroom learning and may support future applications for research positions, postgraduate programmes, fellowships and public health careers. The opportunity may be particularly relevant to candidates interested in the intersection of data, statistics and health research in Africa.

Comment postuler

Interested applicants should visit the Makerere University School of Public Health careers and opportunities page and review the specific application instructions for the Intern or Mentee – Statistician / Data Analyst position. Applicants should ensure that their application demonstrates relevant academic preparation, analytical capabilities and interest in public health research. It is important to submit all requested materials through the official application route and before the stated deadline. Applicants can strengthen their applications by clearly presenting any relevant experience in statistics, data analysis, research or public health. Where applicable, candidates should highlight experience with statistical or data-analysis software, research projects, academic assignments, data management or quantitative methods. A clear explanation of career interests and how the internship aligns with the applicant’s professional development can also help demonstrate motivation for the opportunity. Candidates should carefully review the official requirements because the information available on the careers listing provides limited detail about the specific selection criteria.

Date limite : 30 September 2026

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