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 database design and programming.
- Other info: Work closely with experts 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 in London 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 in London
✨Tip 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.
✨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 data management can be tricky, so think about potential challenges you might face in the role. Be ready to discuss how you'd tackle these issues, showing your problem-solving skills.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in our projects. Tailor your application to highlight your relevant experience and passion for research data management—it’ll make you stand out!
We think you need these skills to ace Research Officer in Research Data Management at the LSE in London
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, and don’t forget to mention any programming skills in R or Python. We want to see how your background fits perfectly 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 ENDOW project and how your skills can contribute to its success. Be genuine and let your personality come through – we love seeing the real you!
Showcase Your Research Experience: Whether it’s your PhD work or other research projects, make sure to showcase your independent research capabilities. We’re looking for someone who can produce original research, so share examples that demonstrate your expertise and creativity.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need about the role and our team. We can’t wait to hear from 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. This will not only help you answer questions confidently but also show your genuine interest in the role.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with database design and data management. Highlight any projects where you've used R or Python, and be ready to explain how you approached challenges in those projects. Practical examples will make your skills stand out.
✨Demonstrate Interpersonal Skills
Since this role involves working closely with Dr Power and other data contributors, emphasise your ability to collaborate effectively. Share examples of how you've navigated ethical and cultural considerations in previous roles, as this will be crucial for managing sensitive data.
✨Prepare Thoughtful Questions
At the end of the interview, you'll likely have the chance to ask questions. Prepare thoughtful ones that reflect your understanding of the role and the project. This shows you're engaged and serious about contributing to the team and the broader scientific community.
