About Khushi Baby

Khushi Baby is a 10 year old digital health nonprofit with expertise in building solutions for Ministries of Health. Founded with a mission to bridge gaps in primary healthcare by empowering community health workers, health officials and partners with innovative digital tools to strengthen last mile health systems, Khushi Baby has partnered with state governments in Rajasthan, Karnataka, and Maharashtra to drive data-driven health systems strengthening at scale. Our 100-member interdisciplinary team integrates expertise in public health, epidemiology, data science, software engineering, product design and health policy to revolutionize how community health data is collected and acted upon.

Through our flagship Community Health Integrated Platform (CHIP), we have:

• Empowered 70,000+ community health workers to digitize health service delivery.
• Tracked over 48 million beneficiaries, identifying 6.5+ million at-risk individuals for targeted health interventions.
• Secured $20M in Ministry of Health and Family Welfare (MoHFW) investment for scaling up digital public health solutions across Rajasthan.

Our work spans all primary healthcare verticals, supporting state-level interventions in maternal and child health, TB control, immunization, malnutrition, and climate-sensitive diseases. We work closely with leading global research institutions such as Harvard, Yale, Johns Hopkins, IITs, Microsoft Research, and JPAL to generate cutting-edge insights and innovations.

Qualifications and Skills:

• A PhD in Public Health, Epidemiology, Data Science, Statistics, Social Sciences, or a related field relevant experience; or
• A Masters in similar fields, with a minimum of 1 year of relevant experience. Candidates with full-time/part-time/internship experience in research will be considered favourably. 
• Demonstrated experience in reporting program indicators aligned with MEL frameworks of the organisation.
• Skilled in executing quasi-experimental and/or experimental impact evaluation study designs, along with hands-on experience in data collection, field monitoring, and ensuring data quality.
• Experience in data and statistical analysis, data cleaning, visualization and presentation, working with large-scale datasets, including both primary and secondary datasets.
• Strong analytical, modelling and data visualization skills for both quantitative and qualitative data; proficiency in tools such as Excel, Power BI, STATA, R, or Python.
• Ability to interpret dashboard analytics and produce outputs and insights for internal and external audiences for impact numbers.
• Experience in developing research publications/reports, documentation, interpreting and synthesizing quantitative and qualitative research results.
• Experience working with digital health or with development partners is a strong asset.
• Willingness and ability to travel frequently to field sites.

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Roles & Responsibilities :

• Support the implementation of the MEL framework for Khushi Baby’s programs, including Family Planning, RMNCH, TB, NCD and Malnutrition initiatives, in collaboration with program and technical teams.
• Co-create data collection tools, evaluation indicators, and reporting formats to align with program needs and objectives.
• Manage collection of primary data, including designing quantitative survey instruments, qualitative assessments etc.
• Identifying and analysing secondary datasets for the purpose of integration into Khushi Baby’s MEL framework.
• Assist in conducting regular data quality assessments to ensure accuracy, consistency, and reliability of data across pilot and scale-up districts.
• Contribute to the generation of actionable insights through data visualization, dashboards, and analytical reports that support program improvements, internal learning and government engagement.
• Collaborate with district and state health teams to facilitate timely reporting and encourage effective use of data for decision-making.
• Help document learnings, success stories, and case studies to support internal learning and external communication efforts.

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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