Position: Research Assistants and Field Coordinators

Organization: The Development Impact Evaluation (DIME)

Apply: https://survey.wb.surveycto.com/collect/dime_stc_application_mar2022?caseid=

Tasks and deliverables The consultants will report to the project Principal Investigators and other members of the Impact Evaluation team.

Duties for RAs include, but are not limited to:

• Clean administrative and primary datasets and create all indicators required for analysis

• Write well-documented, reproducible code for data cleaning, descriptive statistics, regression analysis, data visualization, and any other analysis as per project needs; document all data work on the project’s GitHub repository

• Manage databases, integrating various data sources (for example, project monitoring data, administrative data from local government, and household survey data). This may require programming matching algorithms, using spatial data to create linkages, performing manual matching, and linking up with field staff for additional information on specific tasks

• Support primary data collection: participate in questionnaire design; program electronic questionnaires, design and run high frequency quality checks on raw data; liaise with field staff to resolve data issues and required clarifications

• Conduct literature review and syntheses, contribute to impact evaluation reports and policy briefs, support the development of grant applications, and other writing and editing tasks

• Prepare push-button replication files academic papers and related outputs

• Support receipt of ethical approvals and ensure that data security of identifiable information on project are maintained

• Deliver training courses like impact evaluation, data processing and analysis for government counterparts

Skills Required:
• Academic specialization: A Master’s degree in economics, public policy, statistics, computer science or related field with strong quantitative research skills is essential

• Technical skills: o Advanced skills using either Stata or R for data processing and analysis is required for Research Assistants and strongly preferred for Field Coordinators.

o Experience with survey programming in an ODK based platform is strongly preferred, especially for Field Coordinators.

o Experience with machine learning, natural language processing, Shiny dashboards, and geospatial analysis are desirable, especially for Research Assistants. Knowledge of python is an advantage (and required for certain positions).

o Experience coding in a team environment and using GitHub is highly desirable. Knowledge about the relevant sectors is desirable.

• Experience:

o The candidate must have background in impact evaluation and econometric analysis.

o Experience working with raw household survey data is required for most positions.

o Field experience working on impact evaluations, and/or managing data collection, is preferred.

o Experience working in developing countries preferred

• Capacity Building Skills: Demonstrated ability and experience in designing and delivering training and capacity building activities or other teaching experience is a plus.

• Language:

o Superior written and oral communications skills in English is essential.

o Certain positions will require fluency in other languages (such as French, Portuguese, Hindi, Swahili), as detailed on the STC Open Positions tab on the recruitment dashboard