WHO Support AMR Data Analysis using R Software

Job Posting Organization:
The World Health Organization (WHO) is the directing and coordinating authority for public health within the United Nations system. Established in 1948, WHO has a mission to promote health, keep the world safe, and serve vulnerable populations. The organization operates globally with six regional offices, including the Eastern Mediterranean Regional Office, which serves 21 Member States and the occupied Palestinian territory, impacting nearly 679 million people.

Job Overview:
This position involves volunteering to support the World Health Organization in analyzing antimicrobial resistance (AMR) surveillance data. The role is crucial as it aims to transform underutilized data into actionable insights that can influence clinical practices and public health decisions. Volunteers will have the opportunity to apply their R programming and data analysis skills to address a significant global health challenge. This assignment not only allows for practical application of technical skills but also offers the chance to learn from WHO experts and collaborate with professionals across the Eastern Mediterranean region, thereby enhancing the volunteer's experience in AMR and public health data systems.

Duties and Responsibilities:
The selected online volunteers will work under the guidance of the Regional AMR Adviser at the WHO Eastern Mediterranean Regional Office. Their primary responsibilities will include:

• Cleaning and structuring an agreed AMR surveillance dataset using R programming.
• Supporting the development of a reusable R script utilizing the AMR R package to create agreed analytical tables and visualizations.
• Preparing a concise summary of key AMR trends and findings derived from the assigned dataset.
• Documenting the analytical workflow in a guide for future reference. Each volunteer will be assigned 1-2 countries to collaborate with the respective national focal persons, ensuring that the data analysis is relevant and tailored to the specific context of those countries.

Required Qualifications:
Candidates should possess a strong understanding of R programming and data analysis techniques. Familiarity with AMR data and public health concepts is highly desirable. Volunteers should demonstrate the ability to work collaboratively in a team environment and possess strong communication skills to effectively document and present their findings. Additionally, a proactive approach to problem-solving and a commitment to public health are essential.

Educational Background:
A background in public health, epidemiology, biostatistics, or a related field is preferred. Candidates should have completed relevant coursework or training that equips them with the necessary skills in data analysis and R programming. Advanced degrees in these fields may be advantageous but are not strictly required.

Experience:
While specific years of experience are not mandated, candidates should have practical experience in data analysis, preferably using R. Experience in public health or working with AMR data will be considered a significant asset. The role is suitable for individuals looking to gain experience in a global health context, particularly in data analysis and public health systems.

Languages:
Proficiency in English is mandatory, as all documentation and communication will be conducted in this language. Knowledge of Arabic or other languages spoken in the Eastern Mediterranean region would be beneficial but is not required.

Additional Notes:
This is a volunteer position, and as such, it may not offer financial compensation. The role is expected to be part-time, allowing flexibility for volunteers to manage their time effectively. The duration of the assignment is not specified, but it is likely to align with the project timeline and the needs of the WHO. Volunteers may have the opportunity to work remotely, depending on the specific arrangements made with the WHO.