Research Associate

Support data management and field implementation for primary and secondary data being gathered for various projects across different geographies in India. Support quantitative and qualitative data collection (including ODK management, focus groups, interviews, and quantitative surveys, and secondary data reviews) and conduct data cleaning, including building and running high-frequency checks (HFCs) and de-linking personally identifiable information (PII), creating robust data management architecture tailored to each project.

Produce accurate and organised summaries of data, including basic analysis for descriptive statistics and simple regression analysis, and contribute to report writing. Carry out literature reviews and other desk research, providing input on research questions and structure. Develop and update project documentation regularly. Work with external partners for the implementation of programme operations, while strengthening stakeholder relations, including coordinating with field teams and NGO partners collecting data on the ground.

Work with the technical consulting team and other colleagues to design and implement research studies and monitoring, evaluation, and learning (MEL) activities across different projects within WELL Labs. Contribute and support internal and external communications to disseminate project results and research findings, including briefs, blogs, reports, and presentations. Contribute to WELL Labs’ institutional knowledge management and internal learning efforts.

Requirements Bachelor's degree or above in economics, public policy, international development, or closely related fields. More than the degree itself, we are looking for robust training in handling messy field data and bringing it into a shape from which findings can be analysed and communicated. Good understanding of economics, econometrics, and familiarity with randomised, quasi-experimental evaluations. Familiarity with high-frequency checks, principles of good quality data, and de-linking PII from survey data.

Good working knowledge of Stata/R/Python or similar software for data analysis. Experience working on field research in economics in rural India. Up to 2 years of experience in using KoboToolbox/Survey CTO/ODK or a similar program for survey design and data collection Ability to learn to draw inferences from data to identify pathways for programme improvement and MEL evaluations. Experience in a multi-faceted role, with the ability to balance and prioritise across multiple projects and stakeholders.

Strong writing and oral communication skills in English, with attention to detail and advanced writing and presentation skills. Proficiency in multiple Indian languages is a plus. Experience of working on agriculture or natural resource management projects is a plus. Demonstrable experience in working with surveyor teams, NGO partners and field implementation for data collection. Willingness to travel to field sites in India if required.