Postdoctoral Quantitative Researcher – Economics Lead (Government Outcomes Lab) – Public Sector Reform
Blavatnik School of Government, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX26GG
Responsibilities
We are seeking a researcher with strong expertise in quantitative methods, causal inference, and applied econometrics, and the flexibility to work in a complex, fast‑moving, multi‑method evaluation environment. The TLG programme operates in settings that do not always allow for neat experimental design, with adaptive, place‑based interventions. The postholder will need to combine technical rigour with judgement, including when to use quasi‑experimental methods, when evaluability conditions are not met, and how to communicate uncertainty clearly.
Role Overview
This is a senior role within the GO Lab evaluation team for TLG, responsible for quantitative and economic research within the wider evaluation. The postholder will contribute to analysis and methodological development, while also supervising and mentoring at least one researcher. Working in a collaborative, interdisciplinary team, the role will support impact evaluation, Value for Money and Value for Investment analysis, portfolio‑level quantitative work, as well as publications, funding bids, and policy‑relevant outputs.
Qualifications
You will hold a PhD/DPhil in economics, econometrics, statistics, public policy, or a closely related quantitative discipline, with post‑qualification research experience. Candidates who prefer a lower grade may hold a Master’s degree in a relevant field such as economics, econometrics, statistics, public policy, or a closely related quantitative discipline.
You will have a strong publication record or clear potential to produce publishable research, and familiarity with the relevant literature in applied econometrics, causal inference, and public sector evaluation.
Skills & Experience
You will have strong specialist knowledge of quantitative research methods and applied econometrics, including causal inference techniques such as Difference‑in‑Differences, RCTs, matching, or instrumental variables, enabling you to develop independent research projects and methodologies. You will be able to independently plan and manage research activity, including contributing to budget management and prioritising work in a complex, multi‑strand evaluation, as well as contributing to grant applications and future funding proposals.
Benefits
* 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 remote working.
Salary
Salary (£) : £49,119 - £58,265 per annum (with a discretionary range to £65,336) per annum, dependent on experience
Closing date: 12 noon (UK time) on Monday, 22 June 2026.
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