Job Description
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The Clinton Health Access Initiative (CHAI) is seeking a Program Associate, Data Scientist to support data-driven projects in Cameroon, focusing on women's health and maternal, neonatal, and child health. This mid-level role involves data management, statistical modeling, and the development of analytical tools to inform health policy and program implementation. The Associate will collaborate with government and civil society partners to enhance data collection, harmonization, and visualization efforts. Ideal candidates will possess strong analytical skills and a passion for improving health outcomes through data science. Bachelor’s degree in Statistics, Data Science, Mathematics, or related field 1–3 years of experience in data analysis and modeling Proficiency in data analysis software (R, Python, SPSS, or Stata) Familiarity with Excel and data visualization tools (Power BI, Tableau, QGIS) Knowledge of statistical techniques and equity-focused modeling Excellent organizational and communication skills Fluency in English and working knowledge of French Experience with national health data systems or large household surveys Understanding of Cameroon’s health system and gender issues
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Technical proficiency — Intalma AB expects hands-on mastery of Power BI, Tableau. Don't just list them: describe a concrete project where you used them and the outcome delivered.
International NGO — NGO recruiters read your cover letter to assess your understanding of the humanitarian mission, not just technical skills. Show you know the country field context and the specific challenges of this sector.
Professional registration — Clearly state your training institution and its accreditation. For NGO health roles, additional community health or emergency care training is often decisive.
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Taf4All only lists job offers published by third parties — we are not the source of these jobs and do not handle recruitment. Stay vigilant: never pay money to get a job or an interview, and be wary of any suspicious request.