Program Associate, Data Scientist
Support data-driven projects to improve women's health outcomes.
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Overview
Support data-driven projects to improve women's health outcomes.
You have:
- Bachelor’s degree in Statistics, Data Science, Mathematics, Data Modelling, Computer Science, or a related field.
- 1–3 years’ work experience in data analysis and data modelling particularly within a public health or related setting.
- Strong proficiency in at least one data analysis software: R, Python, SPSS, or Stata.
- Familiarity with Excel and data visualization tools such as Power BI, Tableau and QGIS.
- Strong knowledge of statistical techniques and interest in equity-focused modeling.
- Excellent organizational, communication, and teamwork skills.
- Fluency in English and working knowledge of French (bilingual is an asset).
- Experience working with national health data systems (e.g., DHIS2, LMIS) or large household surveys (e.g., DHS).
- Understanding of Cameroon’s health system, gender issues, or regional disparities.
- Experience producing reports, dashboards, or policy briefs based on data analysis.
Potential interview questions
| Can you describe your experience with statistical modeling in public health contexts? | This question assesses your familiarity with statistical techniques relevant to public health and data analysis. | Provide specific examples of models you've worked with and the outcomes of your analysis. |
| How do you ensure data quality when working with multiple sources? | The interviewer wants to understand your approach to data management and integrity. | Pro members can see the explanation. |
| What tools do you prefer for data visualization and why? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a time when you had to work collaboratively with multiple stakeholders. What was your role? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you approach building predictive models in health data? | Pro members can see the explanation. | Pro members can see the explanation. |
| In your opinion, what are key factors to consider in health equity-focused modeling? | Pro members can see the explanation. | Pro members can see the explanation. |
| What experience do you have with creating dashboards and reporting tools? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you discuss your familiarity with Cameroon’s health data systems? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 6 months ago
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Updated 20 days ago
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Source:
clintonhealthaccess.org
