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- Tasks: Manage and expand a global database for the ENDOW project, ensuring data quality and governance.
- Company: Join a leading social science research department at LSE, working with Dr Eleanor Power.
- Benefits: Enjoy generous leave, hybrid working, and excellent training opportunities.
- Why this job: Make a real impact on wealth inequality research while developing your data management skills.
- Qualifications: PhD or equivalent research experience, plus skills in database design and programming in R or Python.
- Other info: Flexible full-time or part-time options available, with strong career development potential.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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.
Responsibilities
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.
Qualifications
- 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
Benefits
We offer an occupational pension scheme, generous annual leave, hybrid working, and excellent training and development opportunities.
How to Apply
For further information about the post, please see the how to apply document, job description and the person specification. 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, please 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 Data Management employer: Professor Doctor Obi
Contact Detail:
Professor Doctor Obi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Officer in Data Management
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to the ENDOW project or similar research. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! If you’ve got experience with R or Python, don’t just mention it—bring it to life. Share examples of how you’ve used these tools in past projects during interviews or networking events.
✨Tip Number 3
Prepare for the unexpected! Research Officer roles can involve tricky ethical considerations. Brush up on best practices in data governance and be ready to discuss how you’d handle sensitive data in diverse communities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, if you have any questions, don’t hesitate to reach out via the contact links provided. We’re here to help you succeed!
We think you need these skills to ace Research Officer in Data Management
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with database design and data management. We want to see how your skills align with the ENDOW project, so don’t hold back on showcasing relevant projects!
Show Off Your Technical Skills: Since this role requires programming in R or Python, be sure to mention any specific projects or experiences where you've used these languages. We love seeing practical examples of your technical expertise!
Highlight Interpersonal Skills: This position isn’t just about crunching numbers; it’s also about working with diverse communities. Share experiences that demonstrate your ability to navigate ethical and cultural considerations while managing sensitive data.
Apply Through Our Website: Don’t forget to submit your application through our website at www.jobs.lse.ac.uk. It’s the easiest way for us to receive your application, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at Professor Doctor Obi
✨Know Your Project Inside Out
Before the interview, make sure you thoroughly understand the 'ENDOW' project and its objectives. Familiarise yourself with the economic, demographic, and social network data involved. This will not only show your genuine interest but also help you articulate how your skills can contribute to the project's success.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with database design, data management, and programming in R or Python. Bring examples of past projects where you've successfully implemented these skills. This will demonstrate your capability to handle the technical demands of the role.
✨Highlight Interpersonal Skills
Since this role involves working closely with Dr Power and various data contributors, emphasise your strong interpersonal skills. Share examples of how you've navigated ethical and cultural considerations in previous roles, showcasing your ability to manage sensitive data responsibly.
✨Prepare Thoughtful Questions
At the end of the interview, have a few insightful questions ready about the project or the team dynamics. This shows your enthusiasm for the role and helps you gauge if the position aligns with your career goals. It’s a great way to leave a lasting impression!
