London School of Economics

Position Title/Short Description

Full Text of JOE Listing:

We are looking to hire a highly-skilled and motivated individual to work under the direction of Sandra Sequeira at the London School of Economics. The job will entail close collaboration on a number of new and ongoing projects on a broad range of topics in applied microeconomics, development economics and political economy, using “big data” and experimental and quasi-experimental methods to identify causal effects and test the predictions of economic models.

The successful candidate should have a completed Bachelor’s degree (or equivalent) and/or a completed (or nearly completed) Master’s degree in economics or other closely related discipline, strong quantitative and data analysis skills, strong programming skills and confidence with the use of different data management software and the ability to manage own areas of responsibility independently without constant direct supervision. Experience in Stata is essential, proficiency in R or Python, as well as experience with Arc Gis and machine learning are desirable.

We offer an occupational pension scheme, generous annual leave, hybrid working, and excellent training and development opportunities.