Overview
The role involves conducting an inequality assessment of cause-of-death data in Maldives to identify disparities and strengthen national capacity for data analysis and use in health policy and CRVS system improvement.
Key Responsibilities
- Identify and compile mortality and cause-of-death data sources.
- Assess data completeness, consistency, and quality.
- Conduct detailed analysis of cause-of-death data to identify patterns and disparities.
- Examine inequalities across key population groups.
- Identify structural, administrative, and socio-cultural factors contributing to inequalities.
- Assess national capacities and identify gaps in data analysis and use.
- Provide technical inputs for capacity building activities and training materials.
- Prepare an inception report and a comprehensive technical report with findings and recommendations.
- Contribute to the development of briefs and dissemination materials.
- Liaise with key stakeholders for data access, validation, and engagement.
- Support the organization and facilitation of inception and validation workshops.
Required Experience
- Minimum five (5) years of relevant experience in public health, epidemiology, mortality statistics, or CRVS.
- Strong knowledge of CRVS and health systems, including death certification, cause-of-death reporting, ICD coding, and mortality data quality assessment.
- Demonstrated analytical skills, including use of statistical software (e.g. R or Stata) for mortality and inequality analysis.
- Experience working with government counterparts (e.g. Ministries of Health, national statistical offices) and translating technical findings into policy-relevant outputs.
- Experience in Asia and the Pacific and/or small island contexts (e.g., Maldives) is an advantage.
Qualifications
- A bachelor’s degree in Statistics, Health Science, Economics, Social Sciences, or a related field is required.
- An advanced degree (Master’s degree or above) in Demography, Statistics, Public Health, Epidemiology, or a related field is highly desirable.
