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Part-time Research Assistant (Fayda Lab project)

University of Oxford

Oxford

Hybrid

GBP 15,000 - 21,000

Part time

Today
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Job summary

A leading academic institution in Oxford seeks a Research Assistant to support a study on Ethiopia's digital ID program for refugees. This role involves data collection, analysis, and teamwork with project staff. Candidates should possess a Master's degree in a relevant field and strong quantitative research skills. The position is part-time for 6 months and offers opportunities for hybrid working.

Benefits

An excellent contributory pension scheme
38 days' annual leave
Family leave schemes and childcare services
Cycle loan scheme
Discounted bus travel
Membership to sports clubs
Opportunities for hybrid working

Qualifications

  • Candidates must have a Master's degree focusing on the development sector.
  • Experience working with survey data is essential.
  • Strong understanding of RCTs and related methodologies is required.

Responsibilities

  • Support the randomized controlled trial for the research project.
  • Conduct data cleaning and analysis of collected data.
  • Assist with preparations for the endline survey.

Skills

Quantitative research skills
Data analysis
Survey data management
Proficiency in Stata
Proficiency in LaTeX
Excellent communication skills

Education

Master's degree in economics or public policy
Bachelor's degree with extensive experience in data analysis
Job description
Overview

The Blavatnik School of Government is looking to recruit a Research Assistant to contribute to a study on the uptake and impact of Ethiopia's national digital ID programme 'Fayda', which includes refugees.

Responsibilities

Your tasks will be focused on supporting the randomized controlled trial the research team is implementing to assess the impact of the national ID program for refugees.

Tasks will include data cleaning and analysis of the already collected baseline survey and implementation monitoring data, and support to the preparation of a pre-analysis plan.

Further, you will contribute to preparations for the endline survey, including supervision of data collection through high-frequency checks and data cleaning, during the initial phase, to data analysis and output drafting once fieldwork is completed.

You will work closely with field coordinators and other project staff to ensure that effective support is given to the project, as well as with the survey firm carrying out the data collection.

Government Context

The Government of Ethiopia (GoE) has been a global leader in pursuing the Comprehensive Refugee Response Framework (CRRF), which aims at providing a wide-ranging and predictable framework for refugee host‑community integration. To promote refugee inclusion, the GoE is including refugees in the national digital ID programme, which will ease access to public and private services.

Qualifications

Candidates should hold a Master's degree in economics, public policy or a related field with a focus on the development sector and strong quantitative research skills. A Bachelor's degree with extensive experience in data collection and analysis is also acceptable. Candidates must have experience working with survey data and implementing analysis, a strong understanding of RCTs and related methodologies, and be proficient in Stata and LaTeX. Excellent communication skills and a demonstrated ability to work effectively and sensitively in a team are also essential.

Job Details

Location: Blavatnik School of Government, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG.

Position: Fixed‑term for 6 months, part‑time at 50% FTE (18.75 hours per week).

The Blavatnik School of Government is a global school committed to improving the quality of government and public policymaking worldwide, through teaching, research and engagement.

Benefits
  • An excellent contributory pension scheme
  • 38 days' annual leave
  • Family leave schemes and a comprehensive range of childcare services
  • Cycle loan scheme and discounted bus travel and Season Ticket travel loans
  • Membership to a variety of social and sports clubs
  • Opportunities for hybrid working (typically 60% of working hours on‑site and 40% remotely)
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