Senior Program Associate, Data Science, Global Health Programs

About the Role

Key Responsibilities

• Manage data integration and analysis: Lead efforts to gather, integrate, and analyze health financing data from various sources to provide real-time insights into available resources, both domestic and donor assistance.
• Create data visualization tools that promote usability: Develop and manage a dashboard to track health care resources - both available resources and gaps in financing - to support accurate, timely data for evidence-based health financing decisions.
• Design and develop mathematical models: Support development of cost effectiveness, health impact, forecasting, optimization, and other relevant mathematical models to extend the team's insights; synthesize inputs from multiple sources and engage with internal modeling experts.
• Support development of evidence-backed recommendations: Aid government partners in designing actionable recommendations to streamline funding, increase efficiency, and support best practices in healthcare programming.
• Assist with investment case development: Work with government partners to build data-driven cases for domestic funding allocations and pursuit of supplemental donor assistance.
• Facilitate learning and knowledge sharing: Lead the facilitation of a learning agenda that shares insights, case studies, and best practices with other partners, countries, and stakeholders.
• Present key findings: Prepare content for internal and external presentations to share findings and gather feedback.

Requirements

• A minimum of 5 years of experience in the private or NGO sector working in a fast-paced, results-oriented environment such as strategy consulting, investment banking, or health financing. Master's degree in business, economics, public health, or related field strongly preferred.
• Experience in conducting and synthesizing research across health and technical disciplines, with the ability to quickly understand new political or technical contexts.
• Technical skills in quantitative and qualitative data manipulation and analysis, including building and maintaining analytical models, collecting, cleaning, analyzing, and maintaining disparate data sets, and creating visualizations.
• Basic experience with modeling disciplines such as cost effectiveness, simulation, forecasting, and resource optimization, including making, evaluating, and documenting assumptions.
• Ability to distill strategic insights from interviews, workshops, and analyses, and draft succinct reports and presentations for diverse audiences.
• Experience working with Ministries of Health and partners in low- and middle-income countries; experience supporting senior MOH officials is a strong plus.
• Proven effectiveness working in a globally-distributed, team-based environment, with the ability to work independently and take initiative.
• Experience with project management, managing to budget and deadlines.
• High proficiency in Microsoft Office, especially Excel, PowerPoint, and Word.
• Fluency in English, both written and verbal.
• Willingness and ability to travel internationally, less than 10% of the time.

Nice to Have

• Experience working directly with senior government officials in LMICs.

Qualifications

• Master's degree in business, economics, public health, or related field (strongly preferred).

Benefits & Perks

• This is a temporary, non-benefitted position with an hourly rate of $43.26 in the U.S.