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

• 5–6+ 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.