Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Manage and expand a global research database for the ENDOW project.
- Company: Join the prestigious LSE, a leader in social science research.
- Benefits: Flexible working hours, collaborative environment, and opportunities for professional growth.
- Why this job: Make a real impact on understanding wealth inequality through innovative data management.
- Qualifications: PhD or equivalent research experience, plus skills in R or Python.
- Other info: Engage with diverse communities and contribute to meaningful scientific research.
The predicted salary is between 36000 - 60000 £ 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.
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.
Research Officer in Research Data Management at the LSE employer: Network Science Society, Inc.
Contact Detail:
Network Science Society, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Officer in Research Data Management at the LSE
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to the ENDOW project or LSE. 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 to demonstrate your expertise.
✨Tip Number 3
Prepare for the unexpected! Research the ENDOW project thoroughly and think about potential questions they might ask regarding data management and governance. Being well-prepared shows your genuine interest and commitment.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Research Officer in Research Data Management at the LSE
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Officer role. Highlight your experience with database design and data management, as well as any programming skills in R or Python. We want to see how your background aligns with the ENDOW project!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the research and how your skills can contribute to the project. Don’t forget to mention your interpersonal skills, as they’re key for this role.
Showcase Relevant Experience: When detailing your experience, focus on projects that demonstrate your ability to manage sensitive data and work collaboratively. We love seeing examples of how you've navigated ethical considerations in your past roles.
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and keep track of all the amazing candidates like you!
How to prepare for a job interview at Network Science Society, Inc.
✨Know Your Project Inside Out
Make sure you thoroughly understand the 'ENDOW' project and its objectives. Familiarise yourself with the economic, demographic, and social network data involved, as well as the significance of longitudinal data. This will help you demonstrate your genuine interest and how your skills align with the project's goals.
✨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, and be ready to explain your thought process and problem-solving strategies.
✨Highlight Interpersonal Skills
Since this role involves working closely with Dr Power and various data contributors, emphasise your ability to collaborate effectively. Share examples of how you've navigated ethical and cultural considerations in previous roles, showcasing your sensitivity and adaptability when managing diverse data.
✨Prepare Thoughtful Questions
At the end of the interview, have a few insightful questions ready about the project, team dynamics, or future directions of the research. This shows your enthusiasm for the role and helps you gauge if the position is the right fit for you.
