Statistician, Vitamin A Supplementation (VAS)

Helen Keller Intl is a global health organization dedicated to combating the causes and consequences of blindness, malnutrition, and poor health. Through our Vitamin A Supplementation (VAS) program, we have reached millions of children in Africa, protecting them from vitamin A deficiency – a condition that can lead to preventable blindness and dramatically increase the risk of illness and death. As countries transition from mass VAS campaigns to routine health service delivery, maintaining high and equitable coverage rates is critical to ensuring no child is left behind.

We are seeking a Statistician to join our dynamic team and play a key role in analyzing and visualizing data that will guide the future of our life-saving VAS program. If you are passionate about global health and thrive in a collaborative, fast-paced environment, we invite you to be part of a mission that is making a lasting difference.

Position Overview

As a Statistician with Helen Keller Intl, you will apply your statistical and geospatial analysis expertise to support the monitoring and improvement of VAS programs. You will collect, clean, and analyze VAS data from multiple countries, identifying trends and gaps in program coverage, efficacy, and reach. In addition, you will use Geographic Information Systems (GIS) to visualize this data, highlighting geographic disparities and informing targeted interventions.

This is a unique opportunity to contribute to both immediate programmatic improvements and the global knowledge base around VAS delivery in low- and middle-income countries. You will also support the development of manuscripts for publication in peer-reviewed journals, ensuring that your work informs global health strategies.

Key Responsibilities

Data Collection & Management

• Collaborate with the Regional Research Manager to gather routine VAS data from multiple countries.
• Clean, organize, and transform datasets to ensure they are ready for statistical and GIS analysis.

Statistical Analysis

• Conduct exploratory data analysis to identify trends, disparities, and relationships between key VAS indicators (e.g., coverage rates, demographics, geographic factors).
• Apply advanced statistical techniques, including regression analysis, hypothesis testing, and time-series analysis, to assess program delivery and identify underserved populations.

Geospatial Analysis & Visualization

• Utilize GIS tools to map VAS coverage, identify geographic disparities, and highlight spatial trends.
• Create thematic maps and visualizations to guide program improvements.
• Develop user-friendly dashboards (e.g., Power BI) to display real-time data and insights for internal teams and stakeholders.

Reporting & Knowledge Sharing

• Produce detailed reports outlining actionable insights and recommendations for program improvement.
• Collaborate with the Regional Research Manager to draft manuscripts for submission to peer-reviewed journals, contributing to global knowledge-sharing efforts.

Qualifications and Experience

Education & Professional Qualifications

• Master’s degree (or higher) in Statistics, Biostatistics, Epidemiology, Geospatial Sciences, Public Health, or a related field.
• Additional certification or training in GIS and spatial analysis is a plus.
• At least 2 years of professional experience in statistical analysis, spatial data analysis, and GIS, preferably within health programs.
• Proven experience analyzing health service data, particularly in low- and middle-income countries.
• Experience working on public health interventions related to maternal and child health, ideally in sub-Saharan Africa is a plus.
• Expertise in advanced statistical methods, including regression analysis, predictive modeling, and hypothesis testing.
• Proficiency with statistical software (ie. Stata, R) and GIS platforms (ie. ArcGIS, QGIS).
• Strong skills in data visualization and the ability to communicate complex insights to non-technical audiences.
• Experience creating dashboards (ie. Power BI) and other visual tools for reporting.
• Strong problem-solving abilities, with a focus on translating data into actionable recommendations.
• Ability to work effectively in a multicultural, multidisciplinary team environment.
• Fluency in English is required.
• Fluency in French is an advantage.