Supporting WHO Egypt in Automating Data Science for Health Information Systems
Support data science tasks for health information systems and engage with WHO staff.
This opening expired 9 months ago.
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Overview
Support data science tasks for health information systems and engage with WHO staff.
You have:
- Academic background in data science, statistics, computer science, public health, or a related field.
- Experience with R programming and Power BI.
- Familiarity with health data systems (e.g., DHIS2) is an asset.
- Good documentation and communication skills.
Contract
This is a UNV contract. More about UNV contracts.
The World Health Organization (WHO) Egypt is working to strengthen data-driven health programmes by improving data analysis, visualization, and predictive modelling. By engaging Online Volunteers, WHO aims to produce actionable insights that enhance health planning, monitoring, and decision-making. Volunteers will gain exposure to public health data management while contributing to real-world health solutions.
We are seeking 3 Online Volunteers to support data science tasks related to health information systems. Volunteers will work together with WHO staff to:
Data processing and cleaning: Prepare raw health datasets for analysis.\
Writing and maintaining R scripts to extract,
Clean, and standardise surveillance data for different activities (e.g., regional IMST systems such as Mpox, oPt conflict)
Predictive modelling: Develop and test AI/ML models (e.g., disease trend forecasts, patient flow predictions).
Visualization and reporting: Produce interactive dashboards and data visualizations for decision-makers.
Final Deliverables (Outcomes):
2 cleaned datasets with clear documentation.
A Well-documented R scripts and automated routines for routine data processing and updated PowerBI dashboards.
1 predictive model with testing results and user guide.
1 interactive dashboard or visualization package for WHO Egypt staff.
Academic background in data science, statistics, computer science, public health, or a related field.
Experience with R programming and Power BI.
Familiarity with health data systems (e.g., DHIS2) is an asset.
Good documentation and communication skills.
Potential interview questions
| Describe your experience with data processing and cleaning in health datasets. | This question helps the interviewer assess your technical skills and familiarity with health data. | Provide specific examples from past projects where you handled data cleaning and processing. |
| How proficient are you in R programming and what types of projects have you completed using it? | The interviewer wants to understand your level of expertise in R and practical applications. | Pro members can see the explanation. |
| Can you give an example of a visualization tool you have used and how it benefited a project? | Pro members can see the explanation. | Pro members can see the explanation. |
| What do you know about predictive modelling and its applications in public health? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you ensure good communication skills in a team setting, especially while documenting processes? | Pro members can see the explanation. | Pro members can see the explanation. |
| What challenges have you faced while working with health data systems like DHIS2? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a time when you had to work remotely with a team; how did you ensure productivity? | Pro members can see the explanation. | Pro members can see the explanation. |
| Share your experience in creating interactive dashboards and what tools you used for them. | Pro members can see the explanation. | Pro members can see the explanation. |
Added 10 months ago
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Updated 9 months ago
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Source:
unv.org
