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Technical Advisor, Subnational Data Use and Decision Science at Resolve To Save Lives - ApplyBlast

Technical Advisor, Subnational Data Use and Decision Science

Resolve To Save Lives

3 days ago

4.3 on Glassdoor

Abuja, FCT, Nigeria

Onsite

Full Time

Senior

0 applicants

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About this role

The Technical Advisor, Subnational Data Use and Decision Science strengthens the integration, analysis, and use of surveillance data within implementing states in Nigeria. The role involves providing technical leadership, mentorship, and capacity building to state institutions and AFENET Nigeria to improve surveillance governance and epidemic intelligence functions. The position supports the design and routine use of priority information products and data tools to inform timely public health decisions and actions.

Responsibilities

Provide technical leadership and mentorship for subnational data use and decision science
Lead design and automation of surveillance information products and epidemic intelligence workflows
Strengthen state institutional capacity for routine data analysis and public health decision-making

Skills

Qualifications

Master’s degree in epidemiologyMaster’s degree in biostatisticsMaster’s degree in data scienceMaster’s degree in public healthMaster’s degree in health informatics

About Resolve To Save Lives

resolvetosavelives.org

Headquarters

New York, New York, United States

Company Size

51-200 employees

Founded

2017

View Profile

Resolve to Save Lives is a global health nonprofit that accelerates action against the world’s deadliest health threats, with a primary focus on epidemic prevention and reducing cardiovascular disease through hypertension control and sodium reduction. The organization partners with governments, health systems, and local implementers to deliver evidence‑based policies, technical assistance, capacity building, and scalable programs that expand access to prevention, diagnosis, and treatment. It emphasizes data‑driven, high‑impact interventions and policy advocacy to strengthen surveillance, health-system readiness, and population‑level risk reduction to save millions of lives.