Population Data Fellow
Vientiane (Lao )
Minimum age: 25 years old. Nationals of the country of assignment are not eligible, except the assignments in Headquarters duty stations.Description of task
Under the direct supervision of the Representative, working in collaboration with the Regional Population Advisor, Technical Specialist (Health and Social Inequalities), the cohort of UNFPA Population Data Fellows, and the UN Resident Coordinator’s Office in Lao PDR, the UNFPA Population Data Fellow will:
- Promote contemporary technical methods of assessing data quality and completeness of civil registration data, adjusting civil registration data to account for coverage and content error, and producing vital statistics from civil registration data;
- Support developing capacity-building materials, technical tutorials, and worked examples to support staff from National Statistics Offices in assessing data quality and completeness of civil registration data, adjusting civil registration data to account for coverage and content error, and producing vital statistics from civil registration data;
- Assist in facilitating capacity-building workshops and data laboratories for officials from National Statistics Offices and civil registration authorities;
- Conduct statistical and demographic analysis, using standard statistical software packages (e.g. R, Stata or SPSS) to support data processing, assessment and analysis of civil registration data;
- Contribute to routine and ad-hoc discussions and meetings within UNFPA on civil registration, vital statistics and legal identity;
- Contribute to UNCT analysis of broader development trends, drawing on CRVS data;
- Any other related tasks as may be required or assigned by the supervisor.
University undergraduate degree or equivalent in the quantitative social sciences, such as demography, public health epidemiology, statistics, sociology, economics or related discipline (such as computer science).Required experience: 24 Months Experience remark:
Experience (2 years) in applied statistics, public health, epidemiology, and demography.Language skills:
- English(Mandatory), Level - Fluent
- French(Optional), Level - Working Knowledge
- Laotian(Optional), Level - Working Knowledge
- Familiarity and experience in carrying out descriptive statistical analysis and multivariate regression analysis.
- 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;
- Computer programming skills (particular in R, or related statistical programming language such as Stata or SPSS) and willingness to learn (or existing familiarity with) GitHub or version control systems; Computer skills (i.e. Word, Excel, PowerPoint, social media, and others).
Accountability, Adaptability and Flexibility, Commitment and Motivation, Commitment to Continuous Learning, Communication, Ethics and Values, Integrity, Planning and Organizing, Professionalism, Respect for Diversity, Working in TeamsApplication procedure:
* Not yet registered in the UNV Talent Pool?
First register your profile at https://vmam.unv.org/candidate/signup.
Important: After creating your account, complete all sections of your profile and submit it. Then go to ‘My Page’ at https://vmam.unv.org/candidate/mypage and click on the ‘Special Calls’ hyperlink. Lastly, select the special call to which you would like to apply.
* Already registered in the UNV Talent Pool?
First update your profile at https://vmam.unv.org/candidate/profile.
Then go to ‘My Page’ at https://vmam.unv.org/candidate/mypage and click on the ‘Special Calls’ hyperlink to select the special call to which you would like to apply.
Application deadline: 03 April 2020
Updated Novel Coronavirus (COVID-19) information for candidates can be found here.