Research Officer in Research Data Management LSE

This research officer position is to work with Dr Eleanor Power as part of the ongoing "ENDOW" project (Economic Networks and the Dynamics of Wealth Inequality), funded by the UKRI and US National Science Foundation. The research officer will be based in the Department of Methodology, a leading centre for research and education in social science research methods. While we expect this to be a full-time appointment, we are open to considering the possibility of a part-time appointment.

The post entails overseeing and extending the database of the "ENDOW" project, which includes data from over fifty communities around the world, comprising economic, demographic, and social network data characterising each community, its resident households, and the individuals within them. The research officer will be responsible for the expansion of this database to include longitudinal data from each community site, implementing a robust data infrastructure to manage and curate this information.

The research officer will work closely with Dr Power and data contributors to ensure data quality, standardisation, and appropriate governance. They will contribute to core analyses of the ENDOW project and develop tools and resources that will be of wide utility for the collection, curation, and analysis of cross-cultural data. This role is central to building the data infrastructure that will enable meaningful, productive comparisons across these diverse field sites and will ultimately serve as a resource for the broader scientific community.

The successful candidate will:

Have a completed PhD, be close to completing a PhD, or have other research experience that demonstrates the capability to produce independent original research

Have experience with database design, data management and data governance

Have experience with programming in R or Python

This role requires both technical expertise and strong interpersonal skills to navigate the ethical, practical, and cultural considerations inherent in managing sensitive data from diverse communities.