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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/Masters in Public Health, Epidemiology, Data Science, Statistics, Social Sciences, or a related field with a minimum of 5 years of relevant experience.
• Demonstrated experience in managing and tracking program indicators aligned with MEL frameworks; preferably in digital health, public health, RMNCH and/or infectious diseases.
• Skilled in developing and implementing 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 developing organizational MEL frameworks, theory of change, logframes, and designing monitoring and reporting systems.
• Proven experience in authoring SoPs, analytical reports, and data dissemination materials.
• Strong analytical and data visualization skills for both quantitative and qualitative data; proficiency in tools such as Excel, Power BI, STATA, R, or Python.
• Experience in dashboard development and data visualization to support decision-making.
• Experienced in documentation, communication in English, and academic/non-academic reporting.
• Experience working with government health systems or development partners is a strong asset.
• Willingness and ability to travel frequently to field sites.

Roles & Responsibilities :

• Support the design and 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.
• 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.
• Supporting the national leads for MEL and Evidence and Impact in building and implementing a Learning Strategy for Khushi Baby.
• 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.
• Provide continuous MEL support across teams to promote data-driven strategies and adaptive program management.

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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

The remuneration offered will range between 18-21LPA commensurate with the candidate's experience and skill sets. Other benefits include:

• Medical Insurance
• Paid sick leave, paid parental leave and menstrual leave
• Learning stipend policy
• A flexible, enabling environment workplace with the opportunity to grow into leadership roles.
• Opportunities to attend and actively participate in prestigious International conferences and workshops

Note: The candidate will be on a probationary period for the first 90 days of the contract

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

How to apply

• To apply for the above position, please send your detailed CV with a writing sample on careers@khushibaby.org