Job Opportunity for MEL Associate at Wadhwani AI in Delhi

Website Wadhwani AI


Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems and develop practical AI solutions to tackle these issues to make a substantial positive impact.

We have over 30+ AI projects supported by leading philanthropies such as the Bill & Melinda Gates Foundation, USAID, and With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design, and user research.

In the Press:

  • Our Founder Donors are among the Top 100 AI Influencers
  • G20 India’s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. 
  • Unlocking the potential of AI in Public Health 
  • Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence –
  • Winner of the H&M Foundation Global Change Award 2022
  • Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellows 

Location – Delhi


  • Prepare survey instruments, protocols, analysis plans, and training material(s) for implementation of various research studies
  • Lead, conduct, and be responsible for field visits to oversee the implementation of project activities (including scoping) and support for course correction
  • Lead data processing, cleaning, analysis, visualization, and presentation
  • Experience working with, managing, and coding on web-based data collection applications such as SurveyCTO Or KoboCollect
  • Dashboard creation for said indicators and their daily maintenance to ensure the display of correct statistics to assist senior team members to making key decisions on the progress of project implementation activities
  • Support lead MEL in developing the overall MEL plan, log frameworks, work plan, etc. for various projects with guidance from the program management team.
  • Support lead MEL in developing research protocols and ensure approval from the required
  • Research Ethics Committee and local IRB (as required) ensuring the protection of human subjects
  • Development of reports, presentations, and templates for effective internal use and dissemination of reports at state & national levels
  • Function with utmost sensitivity towards data confidentiality and privacy
  • Perform duties as assigned by the supervisor from time to time. 


  • Master’s Degree in development studies, public health, demography, statistics, or related subjects.
  • Masters in Epidemiology, Statistics, or Public Health is preferred
  • One to two years of post-qualification M&E/Quantitative research experience and a demonstrated history of practical skills in monitoring and evaluation of donor-funded programs in the health or social sector is preferred.
  • Post-qualification experience in supporting operations research protocols and conducting surveys and data collection in the health sector is preferred.
  • Demonstrated experience in data management including data cleaning, standardization, maintenance, collation, analysis, and reporting
  • Experience in managing web-based applications for data collection, seamless display of indicators on the dashboard for real-time monitoring
  • Experience in report writing and development of proposals for business development with a variety of domestic and international donors would be an asset.
  • High proficiency and experience with statistical software for analysis of large datasets (such as SPSS, STATA, R, Python, or SAS). Knowledge of handling web-based dashboarding applications like Tableau and GIS applications is desirable.
  • Proficient computer skills in Microsoft Office Suite applications, including Word, Excel, PowerPoint, and Outlook. 


  • Clear understanding of monitoring and evaluation principles and practices
  • Thorough theoretical knowledge of principles of dataset management and analysis and ability to apply them as per context
  • Proven effectiveness while working in a team-based environment, but capable also of working independently
  • Excellent communication and interpersonal skills and ability to work effectively in a complex environment
  • Comfort with collaborating across all levels of leadership internally and externally
  • Skilled in successfully working with geographically dispersed teams and in a multicultural environment.
  • Written and oral proficiency in English, and verbal communication skills in one or more local languages
  • Ability to travel as required

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