Population Data Fellow, FGM Data and Research, Egypt
Join the FGM Data Fellows Programme for 18 months
Overview
Join the FGM Data Fellows Programme for 18 months
You have:
- University undergraduate degree or equivalent in quantitative and/or qualitative social sciences, Master's degree preferred.
- 24 Months of demonstrated interest and/or experience in applied statistics, public health, epidemiology, or demography.
- Working knowledge of statistical packages, especially R, SAS, Stata, or SPSS.
- Willingness to learn GitHub or version control systems.
- Knowledge on gender-related studies including harmful practices like female genital mutilation.
- Experience in GIS software such as ArcGIS or QGIS is an asset.
- Familiarity with descriptive statistical analysis.
- Familiarity with qualitative data collection and analysis.
- Computer skills including Word, Excel, PowerPoint, and social media.
- Good interpersonal, networking, and communication skills.
- Motivated to contribute towards peace and development and to serve others.
- Willingness to contribute and work as part of a team.
- Respect for diversity and adaptability to other cultures, environments, and living conditions.
- Previous experience as a volunteer and/or experience of another culture is highly regarded.
- Open to work remotely and willing to travel.
- Fluency in English and Arabic.
Contract
This is a Internship contract. It usually requires 0 years of experience, depending on education. More about Internship contracts.
Duration: 18 months with possibility of extension
Job Summary
The FGM Data Fellows Programme will be coordinated by the Chiefs of the GHR and PDGender & Human Rights (GHRB) and Population Data (PDB) Branches which will provide leadership and overall guidance. Technical supervision and monitoring will be under the responsibility of FGM focal points at country/regional level and/or under the Technical Specialist at PDB and the Monitoring & Evaluation Specialist at HQ/FGM coordination level.
Qualifications and Experience
Education:
University undergraduate degree or equivalent in the quantitative and/or qualitative social sciences, such as demography, public health epidemiology, statistics, sociology, economics or related discipline (such as computer science), Master’s degree preferred.
Required Experience: 24 Months
- Demonstrated interest and/or experience in applied statistics, public health, epidemiology, or demography;
- Working knowledge of relevant statistical packages (particular in R, or related statistical tools/packages such as SAS, Stata or SPSS) and willingness to learn (or existing familiarity with) GitHub or version control systems;
- Knowledge on gender related studies, especially on harmful practice including female genital mutilation is an asset;
- Demonstrated experience in the use of GIS software (such as ArcGIS or QGIS) is an asset;
- Familiarity and experience in carrying out descriptive statistical analysis;
- Familiarity with qualitative data collection and analysis;
- Computer skills (i.e. Word, Excel, PowerPoint, social media, and others);
- Motivated to contribute towards peace and development and to serve others;
- Good interpersonal, networking and communication skills;
- Willingness to contribute and work as part of a team;
- Flexible and open to learning and new experiences;
- Respect for diversity and adaptability to other cultures, environments and living conditions;
- Previous experience as a volunteer and/or experience of another culture, (i.e. studies, volunteer work, internship) would be highly regarded
- Open to work remotely and willing to travel in other countries.
Languages:
Fluency in English and Arabic
Potential interview questions
| Can you describe your experience with statistical analysis? | This question seeks to understand your practical experience in data analysis. | Provide specific examples where you utilized statistical methods to analyze data. |
| How have you contributed to team projects in the past? | The interviewer wants to assess your teamwork and collaboration skills. | Pro members can see the explanation. |
| What motivates you to work in the field of public health? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a challenging statistical problem you faced and how you solved it. | Pro members can see the explanation. | Pro members can see the explanation. |
| What tools and software are you proficient in for data analysis? | Pro members can see the explanation. | Pro members can see the explanation. |