Support Regional data analysis
Strengthen the analysis and usability of country-reported data on AMR.
Overview
Strengthen the analysis and usability of country-reported data on AMR.
You have:
- Experience in public health, microbiology, epidemiology, veterinary, engineering, nursing, medicine or allied sciences, or data science.
- Proficiency in data cleaning, visualization, and statistical analysis.
- Familiarity with at least one statistical package and its application in health data.
Contract
This is a UNV contract. More about UNV contracts.
With WHO’s support, countries in the Eastern Mediterranean Region are collecting and reporting data on the progress and achievements in implementing the action plan on AMR. The assignment will focus on strengthening the analysis and usability of country-reported data from the WHO TrACSS platform.
This assignment gives you the opportunity to apply your 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 Acting Regional AMR Adviser with the AMR-IPC-One Health Unit, WHO Eastern Mediterranean Regional Office, and willl :
Extract data (from pdf files) submitted by countries to TrACSS https://www.amrcountryprogress.org/ Clean and structure the datasets for selected indicators
Generate analytical outputs (tables and visualizations) Summarize key findings in short reports. Compare with the data from previous years for the same variables and crate a data dashboard.
Document the workflow for capacity building and future use.
Final Deliverables:
Cleaned and structured datasets in excel files.
Analytical outputs including tables and visualizations.
A summary report highlighting key trends and findings.
Dashboard
Documentation of the analysis workflow for future reference and capacity building.
Requirements:
Background: Experience in public health, microbiology, epidemiology, veterinary, engineering, nursing, medicine or allied
-Experience in public health, microbiology, epidemiology, nursing, veterinary, engineering, medicine or allied sciences, or data science.
- Proficiency in data cleaning, visualization, and statistical analysis.
- Familiarity with the at least on statistical package and its application in health data.
Potential interview questions
| Can you describe your experience with data analysis in public health? | This question assesses your relevant experience in handling public health data. | Provide specific examples of projects you've worked on, focusing on your role and the outcomes. |
| How do you approach data cleaning and structuring? | The interviewer wants to understand your methodology and attention to detail in data preparation. | Pro members can see the explanation. |
| What statistical packages are you comfortable using for data analysis? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you give an example of how you generated visualizations from data? | Pro members can see the explanation. | Pro members can see the explanation. |
| How would you summarize key findings from a dataset for a non-technical audience? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a challenging data analysis project you worked on. What was your role? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you ensure the accuracy and reliability of your data analysis? | Pro members can see the explanation. | Pro members can see the explanation. |
| What steps would you take to document your analysis workflow? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 13 days ago
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Updated 2 hours ago
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Source:
unv.org
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