Senior Research Scientist

In this role, you will oversee multiple research projects from start to finish—defining both the key questions and the methodologies—while converting complex data into actionable insights that drive global health impact. You will evolve beyond an individual contributor role to help set research direction and strengthen team capabilities.

We are seeking a rigorous and inquisitive researcher who can independently lead complex workstreams, mentor junior team members, and serve as a senior technical voice. Your work may span data science, behavioural insights, and primary research, aligned with your areas of expertise.

Location: New Delhi, India | Travel: Up to 10%

Key Responsibilities:

• Lead and execute high-impact research end-to-end across a wide range of activities—from advanced analytics and literature reviews to study design, development of new data sources, and the creation of clear, insight-led outputs that inform decision-making in global health setting
• Define and guide the team's research agenda and methodological approach by introducing and scaling innovative analytical techniques, tools, and data sources—particularly by building strong analytics frameworks and leading end-to-end analyses using emerging AI-driven pipelines
• Mentor and support junior researchers and analysts by establishing high-quality standards, reviewing deliverables, and contributing to their ongoing development and capability building
• Drive innovation in advancing health equity by taking ownership of your work, thoughtfully experimenting, and applying creativity alongside technical expertise to generate insights that improve outcomes for underserved communities
• Collaborate cross-functionally to amplify impact, working closely with product, data, and stakeholder-facing teams to design and deliver data- and AI-enabled solutions that address complex health challenges in resource-constrained environments
• Contribute to the organisation's external presence through engagements, knowledge-sharing platforms, publications, and collaborations with a wide network of stakeholders across the global health ecosystem 

Qualification & Requirements:

• 7+ years of relevant experience in applied research, with hands-on quantitative analysis of health-related datasets in low- and middle-income contexts; ability to independently lead end-to-end research projects
• Strong expertise in advanced R programming, with clear evidence of building or contributing to shared codebases; Python and version control experience are a plus
• Proven hands-on experience in quantitative analysis, including primary data processing, QA, regression, study design, and working with messy real-world datasets
• Demonstrated experience in NLP and/or qualitative analysis, including text classification, thematic coding, and analysis of unstructured survey data
• Strong grounding in applied statistics and causal reasoning, with the ability to translate analyses into clear insights for technical and non-technical stakeholders
• Prior global health experience, particularly with behavioural or health outcomes data in LMIC settings
• Experience mentoring junior researchers and reviewing analytical outputs to ensure methodological quality
• Strong communication skills, including presenting to senior external stakeholders and contributing to scientific publications, reports, or white papers
• PhD in a relevant field (e.g., Public Health, Economics, engineering) preferred; equivalent senior research experience will also be considered