Support AMR Data Analysis Using R Software

Host entity: World Health Organization

Application deadline: 27/10/2026

Mission and objectives

The World Health Organization (WHO) is the directing and coordinating authority for public health within the United Nations system. The WHO Regional Office for the Eastern Mediterranean is one of WHO’s 6 regional offices around the world. It serves the WHO Eastern Mediterranean Region, which comprises 21 Member States and occupied Palestinian territory (including East Jerusalem), with a population of nearly 679 million people.

Assignment context

With WHO’s support, many hospitals in the Eastern Mediterranean Region are collecting antimicrobial resistance (AMR) surveillance data, but much of it remain underutilized. By volunteering, you will help transform raw data into actionable insights that can guide clinical practice and public health decisions.

This assignment gives you the opportunity to apply your R programming and data analysis skills to a real-world global health challenge. You will also learn from WHO experts and collaborate with professionals across the region, enhancing your experience in AMR and public health data systems.

Task description

Three online volunteers will work under the guidance of Regional AMR Adviser, a.i., WHO Eastern Mediterranean Regional Office, and will:

• Clean and structure one agreed AMR surveillance dataset using R.
• Support the development of a reusable R script using the AMR R package to generate agreed analytical tables and visualizations.
• Prepare a short summary of key AMR trends and findings from the assigned dataset.
• Document the analytical workflow in a concise guide for future reference.


Each Online volunteer will have 1-2 countries assigned to work with the respective national focal persons.

Skills and experience

Background: Experience in public health, data analysis, microbiology, epidemiology, nursing, medicine or allied sciences, or data science.

- Proficiency in R programming, especially in data cleaning, visualization, and statistical analysis. -
- Familiarity with the AMR R package and its application in health data.

Full eligibility requirements, conditions of service and application instructions are available on the official UNV platform.