Program Officer, Statistical Analysis & Modeling, Discovery & Tools, 9-month LTE

The Foundation

We are the largest nonprofitfighting poverty, disease, and inequity around the world. Founded on a simple premise: people everywhere, regardless of identity or circumstances, should have the chance to live healthy, productive lives. We believe our employees should reflect the rich diversity of the global populations we aim to serve. We provide an exceptional benefits package to employees and their families which include comprehensive medical, dental, and vision coverage with no premiums, generous paid time off, paid family leave, foundation-paid retirement contribution, regional holidays, and opportunities to engage in several employee communities. As a workplace, we're committed to creating an environment for you to thrive both personally and professionally.

The Team

Your Role

The Program Officer (PO), Statistical Analysis & Modeling (9-month LTE) plays a critical role in translating data to strategic insights aimed at accelerating MNCNH impact in Low- and Middle-Income Countries (LMICs). Reporting to the Deputy Director, Epidemiology, Surveillance & Data, the PO will conduct data analyses, build and run impact and cost-effectiveness models, synthesize data, and curate analytic outputs for visualization and distillation of insights for strategic use and dissemination to internal and external stakeholders. The PO will partner with technical stakeholders across a range of disciplines to optimize analysis and modeling plans.

The PO will be responsible for operationalization of data science workflows and processes, including data cleaning, harmonization, and project management of data analysis/modeling pipelines. The ideal candidate will have strong analytical and communication skills, curiosity about the intersection of data and strategy in global health philanthropy, and a collaborative working style.

What You'll Do

Model maternal, newborn, and child nutrition and health burden of disease and intervention impact to inform strategy and resource prioritization

• Analyze primary and secondary data to provide insights into epidemiology and disease burden
• Run statistical and mathematical models of intervention impact potential and cost-effectiveness
• Extract data from various data sources, perform exploratory data analysis, and manage, clean, and aggregate data
• Create data visualizations and aggregate outputs for strategic materials, presentations, and updates to the MNCNH team and broader foundation leadership
• Collaborate with other data scientists and MNCNH team members to advance the team's data and modeling priorities
• Assess quality and accuracy of new data sources and data gathering techniques
• Manage documentation of modeling and analysis processes

Investments & Data Integration

• Support data and modeling investments by tracking progress and synthesizing key data and insights
• Guide translation of data into insights and identify opportunities for investment, course correction, or acceleration.
• Contribute to the design of monitoring and evaluation frameworks and track and analyze MLE process and impact metrics across the portfolio.

Additional projects and activities may include

• Design, develop, and maintain large-scale data processing pipelines to iteratively provide insights at scale using cloud computing capabilities like Azure Databricks.
• Analyze implementation and product procurement data, including integration into existing burden models to assess potential vs. observed coverage and impact
• Support integration of MNCNH burden and modeling engine with family planning team needs
• Devise internal analysis of undercounted years lived with disability associated with causes predominantly or exclusively affecting women
• Use AI LLM models to build burden and impact modeling platforms and dashboards to visualize results and enable user-driven scenario runs

Your Experience

• Master's degree or equivalent experience in public health, epidemiology, data science, or related field.
• Strong experience using R for data management, statistical analysis, and compartmental modeling
• Prior work with population-level disease burden modeling, especially with estimates produced by the UN Inter-agency Group and/or the Global Burden of Disease study
• Familiarity with causes of disease burden among mothers and newborns
• Experience designing or supporting monitoring and evaluation frameworks, data systems, or insights generation in global health or development.
• Strong communication skills, with the ability to synthesize complex information and tailor messages to senior audiences.
• Familiarity with LMIC contexts and working with data or health systems in low-resource settings is a plus.
• Interest in AI and aptitude for tracking relevant applications within the evolving field.
• Demonstrated ability to work across disciplines and integrate data and strategy perspectives into cohesive plans.
• Strong interpersonal and facilitation skills, especially in cross-cultural and multi-stakeholder environments.
• Comfortable working in a fast-paced, evolving landscape with shifting priorities.
• Curious, humble, and proactive learner with a deep commitment to improving outcomes for women, children, and families.
• Ability to travel up to 10% domestically and internationally.

*Must be able to legally work in the country where this position is located without visa sponsorship.

The salary range for this role is $ 140,200 to $210,200 USD. We recognize high-wage market differences in Seattle and Washington D.C., where our offices are located. The range for this role in these locations is $152,800 to $229,200 USD. As a mission-driven organization, we strive to balance competitive pay with our mission. New hire salaries are typically between the range minimum and the midpoint. Actual placement in the range will depend on a candidate's job-related skills, experience, and expertise, as evaluated during the interview process.

#LI-BR1

Hiring Requirements

As part of our standard hiring process for new employees, employment will be contingent upon successful completion of a background check.

Candidate Accommodations

If you require assistance due to a disability in the application or recruitment process, please submit a request here.

Inclusion Statement

We are dedicated to the belief that all lives have equal value. We strive for a global and cultural workplace that supports ever greater diversity, equity, and inclusion - of voices, ideas, and approaches - and we support this diversity through all our employment practices.

All applicants and employees who are drawn to serve our mission will enjoy equality of opportunity and fair treatment without regard to race, color, age, religion, pregnancy, sex, sexual orientation, disability, gender identity, gender expression, national origin, genetic information, veteran status, marital status, and prior protected activity.