You are a self-driven, highly motivated professional with a strong commitment to tackling climate-health challenges in the Global South, particularly in India. You bring a deep understanding of environmental epidemiology and its intersection with public health, policy, and implementation. You thrive in environments where you independently drive high-impact research, engage with diverse stakeholders, and translate scientific findings into actionable climate-health interventions. You have a robust network of climate and health experts across India, South Asia, and other low- and middle-income countries (LMICs). You stay informed on cutting-edge developments in climate-health vulnerability assessment, disease surveillance, and public health policy. You are comfortable navigating ambiguity, working across data science, research, monitoring & evaluation (MEL), and policy teams, and ensuring your deliverables are strategically aligned with CHVI s long-term goals. You possess a strong ability to influence decision-making outside formal hierarchical structures and have experience engaging with government officials, funders, and global health organizations. You enjoy working at the intersection of research, implementation, and policy and are eager to contribute to the validation and scale-up of the CHVI model to improve climate resilience in health systems. You bring a strong analytical mindset, exceptional writing skills, and the ability to translate complex epidemiological concepts into practical, scalable interventions. This role requires a high degree of independence and accountability, and you will be expected to own your deliverables, manage competing priorities, and drive progress efficiently in collaboration with Khushi Baby s Research, MEL, Data Science, and Partnerships & Strategy teams. Key Responsibilities Climate-Health Vulnerability Assessment: Develop, validate, and refine the CHVI methodology for assessing regional climate-health risks, ensuring its alignment with state and national health policies. Geospatial and Epidemiological Analysis: Conduct spatial epidemiology, longitudinal cohort studies, and time-series analysis to measure climate-health impacts and develop real-time risk assessment frameworks. Health Systems Strengthening: Support recommendations for targeted interventions by analyzing attributable burden of climate-sensitive diseases (eg, air pollution, heat stress, vector-borne diseases). Government Engagement and Policy Recommendations: Collaborate with health departments and development agencies to integrate CHVI insights into disease surveillance programs and health adaptation strategies at the state and national level. Intervention Effectiveness Studies: Evaluate health system resilience by assessing the impact of climate adaptation measures on public health outcomes. Data Science & Predictive Analytics: Work with data scientists and public health experts to enhance CHVI through machine learning models, predictive analytics, and quasi-experimental designs for climate-health predictions to improve early warning systems. Multi-Sector Coordination: Work in a complex, multi-disciplinary environment, coordinating with climate scientists, health economists, data engineers, and government stakeholders to refine methodologies and scale the CHVI. Communication & Knowledge Translation: Present CHVI findings to policymakers, public health leaders, and global stakeholders, ensuring insights are actionable for decision-makers. Time Management & Strategic Execution: As a self-starter and strategic thinker, take ownership of independent deliverables, ensuring projects are executed on time and aligned with programmatic goals. Core Skills & Qualifications Climate-health risk assessment and exposure-response modeling. Spatial epidemiology, longitudinal cohort studies, and time series analysis. Climate vulnerability mapping and geospatial risk modeling. Attributable burden analysis for air pollution, heat stress, and vector-borne diseases. Intervention effectiveness studies for climate-sensitive health programs. Experience designing state or national-level health interventions in India. Experience presenting findings to policymakers, government stakeholders, and development agencies. Ability to work in a multi-disciplinary, fast-paced environment, managing multiple priorities effectively. Excellent analytical skills, including deep knowledge of global health trends. Structured and strategic thinking to drive high-impact policy recommendations. Excellent project management skills, ensuring efficient execution of CHVI initiatives. Ability to influence outside of formal hierarchical structures, working effectively with diverse stakeholders. Excellent writing, communication, and presentation skills to translate complex data into actionable insights. Highly Desired Qualities (Preferred but Not Required) Machine learning for climate-health predictions. Quasi-experimental study designs & interrupted time series analysis. Economic evaluation (cost-effectiveness, cost-benefit analysis) of climate-health interventions Preferred Experience & Educational Qualifications PhD with 3+ years of experience OR masters degree with 7+ years of experience in epidemiology, environmental health, climate science, public health data science, or a related field. Competitive pay based on years of experience. Fulency in English is required. Other languages desired, particularly Hindi, Marathi and Kannad you'll stand out with Prior experience working with government officials and NHM data sets Publications with mixed-methods research Prior experience working with mHealth / digital health projects Excellence in English writing and communication Demonstrated work / experimentation in prompt-engineering for tools like ChatGPT Work Location Hybrid role with a preference for candidates based in Delhi, Rajasthan, Mumbai and Bangalore. Candidates must be willing to travel to field locations (Rajasthan and Maharashtra) as needed for validation, government and health system engagements. Benefits Medical insurance Flexible work policies for those menstruating, needing time for grievance of a loved one, religious fasting, etc Monthly field visits, annual retreat Learning opportunities with world-class research institutions (Yale, Harvard) Learning Stipend Policy Sponsored Workshops and Seminars

Job Information Our team is looking to welcome a mature, motivated, mission-driven MEL State Lead to join Khushi Baby Responsibilities: Drive evidence-based updates to Khushi Baby s state-level and project-specific theories of change. Define and update SMART impact KPIs in coordination with state health program directors and field teams. Oversee regulatory approval for research-related activities at the state level (IRB, ethics committees). Maintain protocol compliance throughout data collection and analysis Establish baseline levels for impact KPIs using secondary data (policy documents, official reports) and designing/validating primary survey instruments. Develop real-time monitoring protocols for these KPIs, delivering timely feedback to internal teams and state stakeholders. Convert evaluation findings into recommendations for refining intervention design or deployment at the state level. Link impact evidence to pay-for-performance or other funding models for sustainable organizational growth at the state level. Recruit and develop internal MEL capacity within Khushi Baby, emphasizing state-based data management and analysis competencies. Serve as the nodal point for research collaborations with academic and institutional partners. Conduct regular field visits for data validation, stakeholder engagement, and to strengthen local commitment to data-driven improvements. Demonstrate and disseminate where Khushi Baby s interventions have improved KPI performance , advocating for broader adoption in state programs. Requirements: PhD-level training (or equivalent) in public health, economics, operational research, implementation research, or biostatistics preferred . A Master s degree with significant relevant experience will also be considered. Demonstrated proficiency in: Systematic reviews, evidence gap-map analysis Theory of Change design Qualitative study design and analysis Retrospective and prospective cohort study design and analysis Randomized controlled trial design (simple, cluster, interrupted, digital twin) Quasi-experimental study design and analysis (e.g., difference-in-differences) Spatial and spatiotemporal analysis Cost-benefit/effectiveness study design Grant writing and IRB protocol management At least 5 years of experience in public health in India , including evidence-based intervention design and/or analysis for a state-level health program. Experience analyzing large-scale public health datasets ( 100,000 individual-level observations). Demonstrated dissemination of findings to state or national government stakeholders. Strong stakeholder engagement skills for state-level advocacy and collaboration. Excellent written and verbal communication skills to effectively present findings to policymakers and funders. Ability to manage multi-faceted projects under tight timelines You ll stand out with Prior experience working with government officials and NHM data sets Publications with mixed-methods research Prior experience working with mHealth / digital health projects Excellence in English writing and communication Demonstrated work / experimentation in prompt-engineering for tools like ChatGPT Remuneration Remuneration offered will be between 15-22 LPA commensurate with the candidate s experience and skill sets Benefits Medical insurance Flexible work policies for those menstruating, needing time for grievance of a loved one, religious fasting, etc Monthly field visits, annual retreat Learning opportunities with world-class research institutions (Yale, Harvard) Learning Stipend Policy Sponsored Workshops and Seminars