Specialist - Monitoring Evaluation and Learning - The Institute for Performance and Learning
  • Delhi, Ontario, Canada
  • via MindMatch.ai
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Job Description

ABOUT USWadhwani 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 with the aim of making a substantial positive impact.We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation, USAID and Google.org. 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 InfluencersG20 India’s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally.Unlocking the potentials of AI in Public HealthWadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.orgWinner of the H&M Foundation Global Change Award 2022Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google FellowsROLES & RESPONSIBILITYPrepare survey instruments, protocols, analysis plans, and training material(s) for implementation of various research studiesLead, conduct and be responsible for field visits to oversee implementation of project activities (including scoping) and support for course correctionLead data processing, cleaning, analysis, visualization, and presentationExperience working with, managing, and coding on web-based data collection applications such as SurveyCTO Or KoboCollectDashboard creation for said indicators and their daily maintenance to ensure the display of correct statistics to assist senior team members to take key decisions on the progress of project implementation activitiesSupport 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 subjectsDevelopment of reports, presentations and templates for effective internal use and dissemination of reports at state & national levelsFunction with utmost sensitivity towards data confidentiality and privacyPerform duties as assigned by the supervisor from time to time.QUALIFICATIONMaster’s Degree in development studies, public health, demography, statistics, or related subjects. Masters in Epidemiology, Statistics, or Public Health is preferredA minimum of two years of post-qualification M&E/Quantitative research experience and demonstrated history of practical skills in monitoring and evaluation of donor-funded programs in the health or social sectorAt least two years of post qualification experience in supporting operations research protocols and conducting surveys and data collection in the health sector.Demonstrated experience in data management including data cleaning, standardization, maintenance, collation, analysis, and reportingExperience in managing web based applications for data collection, seamless display of indicators on dashboard for real time monitoringExperience 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.REQUIREMENTSClear understanding of monitoring and evaluation principles and practicesThorough theoretical knowledge in principles of dataset management and analysis and ability to apply them as per contextProven effectiveness while working in a team-based environment, but capable also of working independentlyExcellent communication and interpersonal skills and ability to work effectively in a complex environmentComfort with collaborating across all levels of leadership internally and externallySkilled in successfully working with geographically dispersed teams and working in a multicultural environment.Written and oral proficiency in English, and verbal communication skills in one or more local languagesAbility to travel as required

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