Public Data Sources Structuring and Automation for Public Health Intelligence

Volunteering Medical & Health

Overview

Support the design, automation, and improvement of data pipelines for public health information.

You have:

• Experience writing scripts to fetch, store, and update data from web sources or APIs using R.
• Experience structuring files/folders for reproducible, multi-source data work.
• Exposure to public health, surveillance, or open government data sources.

Contract

This is a UNV contract. More about UNV contracts.

The Online Volunteer will support the design, automation, and improvement of data pipelines and analytical workflows that enable more efficient access, management, and use of public health information. The volunteer will contribute to organizing diverse public data sources, developing automated processes for data retrieval and updates, and strengthening documentation practices to improve data consistency, traceability, and reproducibility. Through this support, the volunteer will help enhance WHO Egypt’s capacity to use reliable and up-to-date information for public health analysis, monitoring, and evidence-based decision-making.

Assignment description

The online volunteer will support the structuring and automated retrieval of public data sources used across public health intelligence workflows, working with the team to keep a defined set of sources organised and up to date.

Key tasks

Support design and upkeep of a clear folder/file structure for data from multiple public sources. Support development of R scripts to automatically download and update data from a defined source list. Support standardisation of file naming and versioning conventions. Support documentation of each data source.

Key deliverables

A defined, documented folder structure covering all sources on the agreed list. At least 2 working R scripts that automatically retrieve and update data from public sources. A source documentation sheet (update frequency, access method, known issues) for each source on the list. A file naming/versioning convention applied consistently across all stored data.

R Programming and Automation: experience writing scripts to fetch, store, and update data from web sources or APIs. Data organisation: experience structuring files/folders for reproducible, multi-source data work. Public health or open data familiarity: exposure to public health, surveillance, or open government data sources.

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Potential interview questions

Added 1 day ago - Updated 1 hour ago - Source: unv.org