Post Doctoral Research Assistant (ERAS Project)

About the Role 

We are seeking a highly motivated and skilled part time (0.75 fte) Research Assistant to join the Oxford School of Nursing and Midwifery. This is an exciting opportunity to contribute to an evaluation of how user-friendly and acceptable an AI-powered dashboard is among registered nurses (RNs) caring for patients having colorectal surgery. This is a six-month multisite study funded by the AI Nurses Network. 

Working closely with Dr Marion Waite and her team, you will support the recruitment of participants, as well as multi-site and multi-method data collection in person at specific NHS sites. This will involve qualitative data analysis using NVIVO, data cleaning, statistical analysis, and the dissemination of findings through reports and presentations.

Main duties: 

• Work closely with Dr Waite and team on the ‘Evaluating the Usability and Acceptability of a Prototype AI-Powered Recovery Pathway Progress Dashboard (AI-ERPP Dashboard) for Tracking Postoperative Recovery by Registered Nurses in an Elective Colorectal Surgical Ward: A Multi-centre Study.’
• Responsibility for planning and carrying out empirical l work, keeping accurate laboratory notebooks, data analysis & interpretation and report writing.
• Assist in recruiting participants from NHS sites.
• Collect and analyse qualitative and observational data.
• Collect, clean, and analyse quantitative research data using statistical software.
• Contribute to the preparation of reports and presentations.
• Assist with the preparation of papers for publication and make presentations at meetings and/or conferences.
• Conduct literature searches and reviews.
• Attend conferences/workshops and present papers as required. 

You Should Have: 

• PhD or near completion of a doctoral degree in a relevant subject
• Recent experience in research within higher education or applied health
• Intermediate level skills in qualitative interviewing, focus group techniques and observation of participants
• Intermediate-level skills in statistical analysis, including:
  • Data collection and cleaning
  • Inferential statistical techniques
  • Proficiency in statistical software (e.g., SPSS, R, or similar)
• Strong communication, teamwork, and flexibility

Benefits 

As one of the largest employers in Oxford we pride ourselves in the great experience we offer our staff. You’ll be joining a friendly, professional environment where every member of staff is recognised as important to the success of Oxford Brookes University. To find out about the benefits associated with working at Oxford Brookes University visit: https://www.brookes.ac.uk/staff/working-at-brookes/benefits/

Equality, Diversity and Inclusion 

At Oxford Brookes, inclusivity is one of our five guiding principles: we take positive steps to create an environment in which we celebrate, value, and provide equal opportunity to all. We are committed to recruiting from the widest possible pool and welcome applications from all suitably qualified candidates who embrace our values, regardless of their background.

As a Disability Confident Employer, we guarantee to interview any disabled applicant who meets the essential selection criteria.

As a result of the immigration changes that came into effect from 22 July 2025 this role will potentially not attract sufficient points to obtain a sponsored skilled worker visa under the points based immigration system, however applications are welcome from candidates who don’t currently have the right to work in the UK, but who would be eligible to obtain a visa via another route. 

Closing Date: 31-Aug-2025

Location: Gipsy Lane Site, Headington Campus

For more information: PDteam-operations@brookes.ac.uk

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