Population Data Fellow, FGM Data and Research, Egypt

Join the FGM Data Fellows Programme for 18 months

This opening expired 5 years ago. Do not try to apply for this job.

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Application deadline 5 years ago: Wednesday 7 Oct 2020 at 17:00 UTC

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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.
Added 5 years ago - Updated 1 year ago - Source: unfpa.org