At a Glance
- Tasks: Manage and expand a global research database on wealth inequality and social networks.
- Company: LSE, a leading university committed to diversity and inclusion.
- Benefits: Generous leave, hybrid working, pension scheme, and top-notch training opportunities.
- Why this job: Make a real impact in social science research while working with diverse communities.
- Qualifications: PhD or equivalent research experience, plus skills in database management and programming.
- Other info: Join a dynamic team and contribute to groundbreaking research for the scientific community.
The predicted salary is between 43277 - 48220 £ per year.
LSE is committed to building a diverse, equitable and truly inclusive university.
Department of Methodology
Salary from £43,277 to £48,220 pa inclusive of London allowance.
This is a fixed-term appointment for 18 months.
Position Overview
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 fullātime appointment, we are open to considering the possibility of a partātime 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 crossācultural 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.
Benefits
We offer an occupational pension scheme, generous annual leave, hybrid working, and excellent training and development opportunities.
For further information about the post, please see the how to apply document, job description and the person specification.
How to Apply
To apply for this post, please go to www.jobs.lse.ac.uk. If you have any technical queries with applying on the online system, use the "contact us" links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email e.a.power@lse.ac.uk.
The closing date for receipt of applications is 15 February 2026 (23.59 UK time). Regrettably, we are unable to accept any late applications.
Research Officer in Research Data Management in London employer: The London School of Economics and Political Science (LSE)
Contact Detail:
The London School of Economics and Political Science (LSE) Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Research Officer in Research Data Management in London
āØTip Number 1
Network like a pro! Reach out to people in your field, especially those connected to the ENDOW project or similar research areas. A friendly chat can open doors and give you insights that might just land you that interview.
āØTip Number 2
Show off your skills! If youāve got experience with R or Python, donāt just mention itābring it to life. Share examples of how youāve used these tools in past projects during interviews or networking events.
āØTip Number 3
Prepare for the unexpected! Research data management can be tricky, so think about potential challenges you might face in the role. Be ready to discuss how youād tackle these issues, showing your problem-solving skills.
āØTip Number 4
Apply through our website! Itās the best way to ensure your application gets seen. Plus, youāll find all the details you need about the role and the team you could be joining. Donāt miss out!
We think you need these skills to ace Research Officer in Research Data Management in London
Some tips for your application š«”
Tailor Your Application: Make sure to customise your CV and cover letter for the Research Officer role. Highlight your experience with database design and data management, as well as any relevant programming skills in R or Python. We want to see how your background aligns with the ENDOW project!
Showcase Your Research Experience: Whether youāve completed a PhD or have other research experience, be sure to emphasise your ability to produce independent original research. Weāre looking for candidates who can demonstrate their research capabilities clearly and confidently.
Highlight Interpersonal Skills: This role requires strong interpersonal skills, so donāt forget to mention your experience working with diverse communities and managing sensitive data. We value candidates who can navigate ethical and cultural considerations effectively.
Apply Through Our Website: Remember to submit your application through our website at www.jobs.lse.ac.uk. Itās the best way to ensure your application is received and considered. If you have any questions, feel free to reach out via the contact links provided!
How to prepare for a job interview at The London School of Economics and Political Science (LSE)
āØKnow Your Data Inside Out
Make sure youāre familiar with the types of data you'll be working with in the ENDOW project. Brush up on your knowledge of economic, demographic, and social network data, as well as any relevant longitudinal data concepts. This will show that youāre not just technically skilled but also genuinely interested in the project.
āØShowcase Your Technical Skills
Be prepared to discuss your experience with database design and data management. If youāve worked with R or Python, have specific examples ready to demonstrate how youāve used these programming languages in past projects. This will help you stand out as a candidate who can hit the ground running.
āØHighlight Your Interpersonal Skills
Since this role involves working closely with Dr Power and various data contributors, itās crucial to showcase your interpersonal skills. Think of examples where youāve successfully navigated ethical or cultural considerations in research settings. This will illustrate your ability to manage sensitive data responsibly.
āØPrepare Thoughtful Questions
At the end of the interview, youāll likely have the chance to ask questions. Prepare thoughtful ones that reflect your understanding of the project and its goals. For instance, you could ask about the challenges faced in data governance or how the team collaborates across different communities. This shows your engagement and enthusiasm for the role.