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Senior Research and Evaluation Adviser

Job in Liverpool, Merseyside, L1, England, UK
Listing for: King's College London
Full Time position
Listed on 2026-02-16
Job specializations:
  • Education / Teaching
    Data Scientist
Job Description & How to Apply Below

Join to apply for the Senior Research and Evaluation Adviser role at King's College London

King's College London provided pay range

This range is provided by King's College London. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

About us

The King’s community is dedicated to the service of society. King’s Strategic Vision 2029 sets out our vision for the future, shaped around five priority areas: educate to inspire and improve; research to inform and innovate; serve to shape and transform; a civic university at the heart of London; and an international community that services the world. Our ambitious Education Strategy sets out the actions that we must take to transform how we teach, how and where our students learn and how we support them during their time with us.

Within the Social Mobility & Widening Participation Department we believe all young people should be able to have high expectations for their future. This means equal access to education and career opportunities. We run programmes that aim to empower young people from underrepresented backgrounds to access and succeed at university.

We are part of the Students & Education Directorate, a collection of wide‑ranging professional services in place to support King’s students and their education. As a directorate we manage the student lifecycle from application to graduation and beyond, to ensure a coherent and seamless student experience and effective administrative processes, working closely with King’s faculties to do so.

About the role

The Senior Research and Evaluation Adviser will work to position King’s College London as a sector leader on conducting institutional evaluation and research to understand how we can support students from underrepresented groups to access university and succeed  team generates causal evidence either through Randomised Controlled Trials or Quasi‑experimental designs, as well as correlational and qualitative evidence.

This is an exciting opportunity for candidates looking to work in research and evaluation in an applied context, and who wish to use their skills and expertise in quantitative and qualitative methods. This is an opportunity to grow your skills in generating and applying evidence to practice.

We encourage applications from candidates who have experience from both within and outside of the Higher Education sector where they can demonstrate the skills needed to succeed in this role.

This is a full‑time post (35 hours per week), and you will be offered an indefinite contract.

Key responsibilities
  • Lead on a range of research & evaluation activities, including synthesis of secondary research; conducting qualitative, quantitative and/or survey designs; developing and delivering randomised controlled trials (and other experimental trials as appropriate)
  • Convey research findings, including complex quantitative information, in a clear and actionable way
  • Develop and maintain expertise in research and evaluation methodologies
  • Work with academics and practitioners to test and trial new approaches to widening participation and student success
About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

Qualifications & Training
  • Relevant work experience and/or education: A wide range of work and educational experiences could support success, including work in any research or evaluation job or higher education in a related discipline, professional qualifications or other training.
  • Postgraduate degree or qualification in research methods, statistics, analytics or a related field and/or relevant experience.
Skills & Experience
  • Ability to select appropriate research designs and use qualitative and quantitative methods, including surveying, interviewing and running focus groups
  • Ability to establish causal inference using experimental methods (e.g quasi‑experimental methods, randomised controlled trials)
  • Confident in conducting data analysis and statistical testing using relevant software (such as Power BI, R, Stata or SPSS) and presenting findings in various formats
  • Ability to manage multiple research projects and deliver…
Position Requirements
10+ Years work experience
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