At a Glance
- Tasks: Support research on Digital Lives of Care-Experienced Children using quantitative methods.
- Company: Join the Oxford Internet Institute, a leading research department at the University of Oxford.
- Benefits: Flexible hours, opportunity for remote work, and experience in a prestigious academic environment.
- Other info: Dynamic role with potential for career growth and valuable networking opportunities.
- Why this job: Make a real difference in understanding the lives of care-experienced children while developing your research skills.
- Qualifications: Current doctoral student or holder in social sciences with quantitative research experience.
The predicted salary is between 15.3 - 18.7 £ per hour.
Stephen A. Schwarzman Centre for the Humanities Radcliffe, Observatory Quarter, Woodstock Road, Oxford OX2 6GG
The Oxford Internet Institute (OII) is a multidisciplinary research and teaching department at the University of Oxford, dedicated to exploring the implications of emerging technologies for how people live, work and govern.
Dr Ekaterina Hertog is seeking a motivated and detail-oriented Research Assistant to support a quantitative component of the research project on Digital Lives of Care-Experienced Children in the UK.
The RA will play a central role in identifying relevant variables across survey waves and supporting the construction of analytical datasets and descriptive outputs in Stata.
The role involves a high degree of initiative and the ability to communicate effectively with data service providers and university library services.
The position is variable hours, an average of 16 hours per week and fixed term until 31 December 2026.
You will be based in Oxford but there may be the opportunity for occasional remote working.
The ideal candidate will hold a doctoral degree or be a current doctoral student in a social science discipline, such as Sociology or Social Policy, Demography, Economics, or related discipline with quantitative research experience.
They will have excellent written, verbal and data presentation skills.
Please contact OII Recruitment (recruit@oii. ox. ac. uk) with any queries relating to this vacancy.
You will be required to upload a supporting statement, setting out how you meet the selection criteria, curriculum vitae and the names and contact details of two referees as part of your online application.
Only applications received online before noon UK TIME on 25 August 2026 can be considered.
We cannot accept late applications due to time constraints.
Interviews are currently due to take place on 7 or 8 September 2026.
- Committed to equality and valuing diversity
- #J-18808-Ljbffr
Variable Hours Research Assistant in Oxford employer: Corehr
Sheffield Hallam University is an exceptional employer, offering a vibrant and inclusive work culture that fosters innovation and collaboration within the Smart Interactive Technologies Lab. As a Research Fellow, you will have access to cutting-edge research infrastructure and the opportunity to contribute to impactful projects aimed at improving maternal health outcomes, all while benefiting from a supportive environment that prioritises professional growth and development. Join us in making a meaningful difference in healthcare through responsible and human-centred digital innovation.
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We think this is how you could land Variable Hours Research Assistant in Oxford
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We think you need these skills to ace Variable Hours Research Assistant in Oxford
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Corehr, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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