Support AMR Data Analysis Using R Software

Support antimicrobial resistance data analysis using R programming.

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WHO - World Health Organization

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Volunteering

Application deadline 3 months ago: Monday 9 Feb 2026 at 00:00 UTC

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Overview

Support antimicrobial resistance data analysis using R programming.

You have:

Experience in public health, 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.

Contract

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Details

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.

The three online volunteers will work under the guidance of AMR/IPC Unit Medical Officer, WHO Eastern Mediterranean Regional Office, and willl :

Clean and structure AMR surveillance datasets from selected hospitals.

Generate analytical outputs (tables and visualizations) using the AMR R package.

Summarize key AMR trends and findings in short reports.

Provide virtual support sessions for national focal points and hospital staff on using R for AMR data analysis.

Document the workflow for capacity building and future use.

Final Deliverables:

Cleaned and structured AMR surveillance datasets from selected hospitals. 

Analytical outputs using the AMR R package (https://amr-for-r.org/), including tables and visualizations. 

A summary report highlighting key AMR trends and findings. 

Virtual support sessions for national focal persons and hospital staff on using R for AMR data analysis. 

Documentation of the analysis workflow for future reference and capacity building.

Requirements:

Background: Experience in public health, microbiology, epidemiology, nursing, medicine or allied

-Experience in public health, 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.

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Potential interview questions

Can you describe your experience with data cleaning and how you have applied it in your previous work?	The interviewer is assessing your practical skills in data handling and preparation.	Provide a specific example of a project where you successfully cleaned data and the techniques you used.
What is your proficiency level with R programming and what projects have you completed using R?	This question aims to evaluate your hands-on experience with the programming language.	Pro members can see the explanation.
How do you approach analyzing complex datasets, and can you provide an example from your past work?	Pro members can see the explanation.	Pro members can see the explanation.
What techniques do you use to visualize data effectively, and why do you think visualizations are important?	Pro members can see the explanation.	Pro members can see the explanation.
Can you explain your understanding of antimicrobial resistance and its significance in public health?	Pro members can see the explanation.	Pro members can see the explanation.
Describe a situation where you had to collaborate online with a diverse group. How did you manage communication?	Pro members can see the explanation.	Pro members can see the explanation.
Have you had experience training others on data analysis tools? What was your approach?	Pro members can see the explanation.	Pro members can see the explanation.
What motivates you to volunteer for data analysis in a global health context?	Pro members can see the explanation.	Pro members can see the explanation.