University Quantitative Research Assistant

2026 University of Oxford Quantitative Research Assistant

Applications are now open for the 2026 University of Oxford Quantitative Research Assistant position. The role, created by the Oxford Department of International Development, is a highly competitive career development program offering a high entry‑level salary package and expert institutional training. Successful candidates may focus on mastering evidence‑based decision making and international policy analysis free from financial pressure.

The Quantitative Research Assistant provides a real head start in an academic career, offering a full learning experience where top professors teach scientific and analytical skills. It integrates mentorship, advanced data‑interpretation training, and direct access to active portfolios in global development, public policy, applied economics, and cross‑disciplinary social sciences.

• Work alongside leading global experts daily, shaping complex scientific papers and applying advanced data models to real‑world challenges.
• Contribute to high‑impact international development and public policy research projects.
• Communicate complex quantitative information to diverse audiences.

• Competitive annual salary ranging from £35,681 to £41,636 on the Research Grade 6 scale.
• Direct placement within a world‑leading research ecosystem at one of the most prestigious universities in Europe.
• Practical professional training in next‑generation quantitative methods and data‑analysis software.
• Hands‑on experience contributing to high‑impact international development and public policy research projects.
• Exclusive academic networking opportunities with global scholars, development experts, and policymakers.
• A highly supportive, diverse, and inclusive workplace recognized by the Athena Swan Bronze Award.
• Outstanding pathways to secure future public policy research grants or enter top‑tier doctoral programs.

• Academic Background: Must hold a strong university degree in Economics, Social Sciences, Statistics, Public Health, or a related quantitative field.
• Technical
  
  Competencies:
  
  Exceptional skills in quantitative data analysis, data interpretation, and statistical software tools.
• Communication
  
  Skills:
  
  Outstanding verbal and written communication abilities, with a proven capacity to explain complex data to non‑specialist audiences.
• Collaborative Qualities: Excellent interpersonal skills and a demonstrated ability to work effectively within multicultural research teams.
• Diversity Values: Commitment to equality, diversity, and organizational inclusion in a global academic environment.
• Time Commitment: Full availability to work on site at the Oxford Department of International Development in the United Kingdom.

June 10 2026