Research Scientist - Global Health

About the job Research Scientist

In this role, you will apply advanced quantitative methods and behavioral science to understand the human drivers behind global health outcomes. You will work with complex, real-world datasets to generate insights that inform how healthcare is delivered and improved in low- and middle-income countries. The role combines rigorous analytical research with the ability to translate findings into clear, decision-relevant insights for global health stakeholders.

Key Responsibilities

• Design and execute advanced statistical analyses to uncover behavioral and systemic drivers within global health datasets.
• Apply quantitative methods, including statistical modeling and machine learning approaches, to generate robust and actionable insights.
• Work with large, real-world datasets and contribute to the development and management of analytical workflows and data pipelines.
• Collaborate closely with Product, AI, and research teams to translate analytical findings into scalable data-driven tools and solutions.
• Interpret complex analytical results and communicate clear implications, recommendations, and so what insights for internal teams and external partners.
• Contribute to the design of research studies and data collection approaches, ensuring analytical rigor across the research lifecycle.
• Produce high-quality reports, visualizations, and presentations for global health decision-makers.

Qualifications & Requirements

• 56+ years of experience in quantitative research, data analysis, or applied analytics roles.
• Strong programming skills in Python and/or R, with experience working with complex, real-world datasets.
• Solid grounding in applied statistics, quantitative research methods, and analytical problem solving.
• Demonstrated ability to interpret analytical results and translate them into clear, stakeholder-friendly insights and recommendations.
• Experience in global health, public policy, development, or related sectors is highly valued.
• Advanced degree in Public Health, Economics, Neuroscience, Statistics, or a related quantitative field; PhD is a plus.
• Experience with platforms such as Databricks is a plus.
• Strong written and verbal communication skills; fluency in French is considered an advantage.
• Must be based in (or willing to relocate to) New Delhi, India, with willingness to travel up to 10% nationally and internationally.