Research Associate

Location: Karnataka (preferably Bangalore, with inter-district and inter-state travel to project locations)

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.

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.

Remuneration

8-9 LPA

• 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