Organization Mission

The World Health Organization serves as the directing and coordinating authority for public health within the United Nations system. WHO seeks to promote health, ensure everyone can attain the highest level of health, keep the world safe and serve the vulnerable through partnerships, people and countries.

Context

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.

Key Responsibilities

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.

Required Skills and Experience

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.