Remote Volunteer Opportunity with the World Health Organization 2026 in Health Data Analysis
Applicant criteria
- NationalityNo specific nationality required
- Age18 - 60
- GenderBoth
Opportunity description
The World Health Organization (WHO), in collaboration with the United Nations Volunteers (UNV) programme, is offering an international online volunteer opportunity in health data analysis, organization of public data sources, and data automation. The opportunity aims to support public health activities and data-driven decision-making at the WHO office in Egypt.
The selected volunteer will help develop and improve systems for collecting, organizing, and automatically updating public health data using the R programming language, contributing to the availability of accurate and up-to-date information for health analysis and monitoring.
Benefits
Remote volunteering with the World Health Organization.
Gain practical experience in health data analysis and data collection automation.
Develop programming skills using R and work with public data sources.
Contribute to improving information systems used for public health monitoring.
Work on projects linked to the Sustainable Development Goals, particularly SDG 3: Good Health and Well-being.
Gain experience in organizing data and documenting data sources to support future reuse.
Possibility of receiving an electronic volunteer certificate from UNV upon successful completion of the assignment requirements, in accordance with programme policies.
Duties & responsibilities
The volunteer will contribute to the following tasks:
Organize files and folders containing data collected from multiple public sources.
Develop R scripts to collect data from websites or APIs.
Automate data downloading and periodic updates.
Establish a clear system for documenting data sources.
Improve data traceability, source verification, and update tracking.
Eligibility criteria
Applicants should have the following qualifications and skills:
Education: At least a high school diploma.
Programming: Experience using R and writing scripts to collect, store, and update data.
Data Organization: Ability to create clear file and folder structures for managing data from multiple sources.
Data Sources: Knowledge of or previous experience working with public health data, health surveillance data, or open government data.
Language: Fluency in English.