OBJECTIVES OF THE PROGRAMME
The Division of Data, Analytics and Delivery for Impact supports and strengthens the generation and collection, analysis, use and dissemination of data and evidence to promote better evidence-informed decision-making in the Member States. Its goal is to build capacity in member states to monitor the health of their populations and the impact of health interventions and to promote evidence-informed policy decisions. The monitoring of WHO's Global Programme of Work 13 2019-2023 (GPW 13) Impact Framework is also a key function.
The Department of Data and Analytics is responsible for monitoring progress on the GPW 13, strengthening country health information, data generation and evidence creation in collaboration with partners and addresses critical data gaps for priority health topics. It also serves as the Division focal point for collaboration with other departments with regard to primary data generation efforts and analysis. It undertakes an analysis of health trends and determinants. The WHO has undertaken multi-country studies to obtain reliable and valid data related to measures of population health, risk factors, coverage, the responsiveness of health systems and social capital. The scope of these multi-country studies has been expanded to include special population groups such as older adults and health examination and longitudinal cohort studies. The programme will continue to develop state-of-the-art methods to measure health and health-related outcomes and their determinants in order to provide the best available comparable evidence for health policy.
DESCRIPTION OF DUTIES
1. Support DDI's implementation of WHO's GPW 13 impact framework in countries.
2. Assist DDI's efforts to improve the measurement of health outcomes and their determinants with regard to the monitoring of the GPW 13 impact framework, UHC and the Sustainable Development Goals (SDGs).
3. Contribute to the data management, cleaning and weighting of data sets.
4. Prepare substantive analytical reports of health and health-related outcomes and their determinants to provide the evidence to inform policy.
5. Participate in the support to country partners in data management and develop the capacity for data analysis among country partners.
6. Analyze data sets for inter-country comparisons of health and health-related outcomes across different sub-populations.
7. Participate in the preparation of grant applications to different funding agencies for multi-country studies.
8. Participate in training and data analysis workshops for countries participating in studies being coordinated by the team.
9. In coordination with other team members, participate in the preparation articles, manuscripts and presentations, with priority on projects mentioned above for information sharing, scientific conferences and peer-reviewed journals.
10. Perform other duties as required by the supervisor
Essential: A first university degree in the area of epidemiology, demography or statistics.
Desirable: Advanced university degree related to epidemiology, demography or statistics.
Essential: At least two years of hands-on experience in the analysis of data on population health with exposure at the international level, experience in writing technical reports and papers.
Demonstrated experience applying research methods and epidemiological / demography / statistical principles; experience participating in workshop development and implementation at the national and/or international level.
Desirable: Experience within WHO, UN agency or other international organization.
Proven skills in data analysis of a range of data sources on population health. Excellent knowledge of STATA and other statistical applications such as R. Ability to work in a flexible manner under pressure to meet deadlines.
Ability to work in a collaborative manner.
A clear understanding of implementation methods and implementation science where applicable.
Respecting and promoting individual and cultural differences
Setting an example
Use of Language Skills
Essential: Expert knowledge of English.
Desirable: Intermediate knowledge of French.