Support AMR Data Analysis Using R Software
Organizational Context
The World Health Organization (WHO) is the UN's global health authority. Its Eastern Mediterranean Regional Office serves 21 Member States and occupied Palestinian territory, covering nearly 679 million people. This role supports WHO's efforts to address antimicrobial resistance (AMR) by transforming underutilized surveillance data into actionable insights for clinical practice and public health decisions within the region.
Job Purpose
This assignment aims to leverage R programming and data analysis skills to address the underutilization of antimicrobial resistance (AMR) surveillance data collected by hospitals in the Eastern Mediterranean Region. The volunteer will contribute to transforming raw data into actionable insights that can inform clinical practice and public health strategies. This role offers a valuable opportunity to gain practical experience in AMR and public health data systems by working with WHO experts and collaborating with professionals across the region, ultimately enhancing the impact of AMR surveillance efforts.
Responsibilities
Under the guidance of the Regional AMR Adviser, the volunteer will perform several key tasks. This includes cleaning and structuring antimicrobial resistance (AMR) surveillance datasets using R. The volunteer will also support the development of a reusable R script, utilizing the AMR R package, to generate analytical tables and visualizations. A crucial part of the role involves preparing concise summaries of key AMR trends and findings from the assigned datasets. Additionally, the volunteer will document the analytical workflow in a guide for future reference, ensuring knowledge transfer and sustainability. Each volunteer will be assigned 1-2 countries to work with national focal persons.
Work Experience
Experience in public health, data analysis, microbiology, epidemiology, nursing, medicine, allied sciences, or data science is required. Proficiency in R programming for data cleaning, visualization, and statistical analysis is essential. Familiarity with the AMR R package and its application in health data is also necessary.
Skills
Proficiency in R programming for data cleaning, visualization, and statistical analysis. Familiarity with the AMR R package and its application in health data. Strong analytical skills. Ability to document workflows. Fluent English is required; working knowledge of Arabic is desirable.