About the Opportunity

The Development Impact Evaluation (DIME) department seeks to recruit 27 Research Assistants and Field Coordinators to support our global portfolio of impact evaluations. The consultants will work with the DIME team and external researchers on all phases of the impact evaluations (IEs), from study design to analysis.

Both Research Assistants (RAs) and Field Coordinators (FCs) will be hired as Short-Term Consultants (STCs). Field Coordinators are typically based in the country where the study is taking place. With consideration for the ongoing pandemic, the STCs will be expected to work remotely for the duration of the assignment, with daily interaction with the broader global research team. Operating status of WB Country Offices varies globally; applicants will be expected to relocate to the country as soon as local operating status and travel regulations allow (details can be discussed with individual project teams). The consultants will be involved with the projects during design and data collection, processing, and analysis. 

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Roles and Responsibilities (Research Assistants)

  • 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 workon 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 onproject are maintained
  • Deliver training courses like impact evaluation, data processing and analysis for governmentcounterparts
  • Participate in regular code review sessions with DIME Analytics

Roles and Responsibilities (Field Coordinators)

Duties for FCs include, but are not limited to:

  • Act as a liaison among members of the research team, government representatives, localstakeholders and other locally hired field staff to promote understanding of and support for theimpact evaluation
  • Contribute to the development and implementation of field protocols and procedures and surveyinstruments, including field protocol, data quality protocol, recruitment of field staff, field stafftraining, and survey pilots
  • Conduct training sessions with stakeholders
  • Coordinate acquisition of secondary data, such as administrative data
  • Supervise the implementation of primary data collection and data entry activities (including fieldmonitoring, high frequency data checks, survey audits) and act as the primary point of contactwith the research firm hired to conduct surveys
  • Ensure that impact evaluation interventions are carried out as planned, adhering toimplementation protocols and timelines. This may include ensuring IT systems for inspections are installed, inspection forms and checklists are properly used, tablets are prepared and available, and other similar tasks. Closely monitor the implementation of the interventions to be evaluated to ensure that the identification strategy is not compromised
  • Send weekly progress reports on the implementation to the research team
  • Support data cleaning, processing, and analysis
  • Support receipt of ethical approvals and ensure that data security of identifiable information on project are maintained
  • Support in-country capacity building by helping train local hires and stakeholders in impact evaluation methodology, data collection, etc.
  • Support the dissemination of impact evaluation methodology and results
  • Perform other related tasks, upon request

Eligibility

  • 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:Advanced skills using either Stata or R for data processing and analysis is required for Research Assistants and strongly preferred for Field Coordinators. Experience with survey programming in an ODK based platform is strongly preferred, especially for Field Coordinators.
  • 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).
  • Experience coding in a team environment and using GitHub is highly desirable.
  • Knowledge about the relevant sectors is desirable

Experience:

  • The candidate must have background in impact evaluation and econometric analysis.
  • Experience working with raw household survey data is required for most positions.
  • Field experience working on impact evaluations, and/or managing data collection, is preferred.
  • 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:Superior written and oral communications skills in English is essential. 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.
  • Interpersonal skills: Motivated self-starter, with demonstrated ability to work effectively andsensitively in teams, and excellent cross-cultural communication skills.

Selection Process

  • Qualified candidates should apply using this link no later than March 14th, 2022 at 1pm EST., 2021.
  • Applications will be reviewed on a rolling basis. Applicants will be asked to upload a zipped folder which include the following:
  1. Resume
  2. Brief statement(s) of interest (SOI). Candidates have the option to include a specific SOI for eachposition they are applying to. At a minimum, we request that candidates to submit a separate EOI for each type of position (RA, FC, and Hybrid RA & FC). Each SOI should be no longer than 500 words, and the file title should clearly indicate the position of interest.
  3. Sample code. Applicants are recommended to include sample files prepared by them that best indicate their level of experience in Stata, R, Python, and/or ODK. Candidates may submit multiple code samples (no more than one per programming language), if relevant to their position(s) of interest. If you prefer to point to code on GitHub rather than attaching code samples, please share, as a readme file, the link to individual scripts that best represent your skills in the language. If full repositories are linked, the code will not be considered.

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