Research Assistant

Details


1106692


University of Warwick


12/01/2026


6 Months


22.5 hours per week. Flexible arrangement.


Smart Casual

Pay


£18.76


£2.26

Description

Role

We are seeking a motivated Research Assistant to join us on a 7-month fixed-term appointment (12 January 2026 – 31 July 2026) for 22.5 hours per week (days/times negotiable). The successful candidate will contribute to a project titled “Women in Academia Phase II.”

The Women in Academia (WinA) Phase I Roadmap Report has identified key systemic challenges and evidence-informed recommendations to improve gender equity, inclusion, and wellbeing across UK Higher Education. Phase 1 generated a robust dataset capturing individual, departmental, and institutional experiences, revealing priority areas for change.

Phase 2 moves from ‘lived experience’ insights to collective direction-setting, laying the groundwork for national alignment on priority areas.  While recognising that priorities may be contextual and differences will arise across institutions, this phase emphasises the importance of identifying what is both practicable to implement and measurable in real-world settings. It will use data-driven consensus-building to agree shared priority areas, ensuring they are actionable and evaluable, and prepare for targeted implementation in the subsequent phase.

Current frameworks often focus on institutional self-assessment and action planning, but there is limited national-level consensus on which priorities deliver the greatest impact and can be practically implemented and evaluated across diverse contexts. This study addresses that gap by using a modified Delphi approach to establish shared priorities informed by empirical evidence and sector expertise.

Duties and responsibilities

Lead the design, coordination, and delivery of a Delphi study, including:

  • Engage critically with literature on research culture, EDI, gender equity, research culture in Higher Education
  • Development of modified Delphi rounds and survey instruments
  • Recruitment and management of expert panels (e.g. academics, senior leaders, funders, EDI specialists)
  • Analysis and synthesis of quantitative and qualitative consensus data across rounds
  • Lead the interpretation and synthesis of Delphi outputs
  • Contribute to academic publications, reports, and presentations
  • Support dissemination to non-academic audiences (e.g. policy briefings, webinars)
  • Work collaboratively with the project team to deliver project milestones on schedule.

Skills and experience

Essential:

  • A degree (or equivalent experience) in a relevant field i.e. social sciences, gender studies, psychology.
  • Demonstrable experience conducting and/or leading a Delphi study, including multiple rounds and expert consensus methods.
  • Proven experience in manging attrition and bias across multiple rounds.
  • Strong mixed-methods, analytical, and problem-solving skills with experience in data analysis using various tools (e.g., R, SPSS, NVivo).
  • Experience engaging and communicating with senior expert panels and stakeholders.
  • Ability to work independently and collaboratively as part of an interdisciplinary team.
  • Excellent written and verbal communication skills.
  • Experience in communicating scientific outputs to policy or stakeholder audience.
  • Strong organisational skills and attention to detail.
  • Knowledge and understanding of gender equity issues in UK higher education (staff).

Desirable:

  • Postgraduate qualification (MSc or equivalent) in a relevant discipline.

Location
Flexible (campus/remote working).

Additional information
Advert closes on the 4th January 

Interviews to be held on 13th January 
 
Please note, if you apply for this role your contact details will be shared directly with the hiring manager 
 
Please note that your CV and Cover Letter is your chance to explain why you are interested in the role and why you feel like you will be suitable fit. Relying too heavily on services such as Chat GPT when writing your cv and cover letters could reduce your chances of being shortlisted. 

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