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Quantitative Research Fellow: #BeeWell

The University of Manchester - Education

Location: Manchester
Salary: £47,389 to £51,753 per annum depending on relevant experience
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 29th June 2026
Closes: 10th July 2026
Job Ref: HUM-031605

Job reference: HUM-031605
Salary: £47,389-£51,753 (7.1-7.4) per annum depending on relevant experience
Faculty/Organisational Unit: Humanities
Location: Oxford Road
Employment type: Fixed Term
Division/Team: Education
Hours Per Week: Full time FTE
Closing date (DD/MM/YYYY): 10/07/2026
Contract Duration: Fixed term from 01/09/2026 to 30/08/2027
School/Directorate: School of Environment, Education & Development

We are seeking a motivated and collaborative individual to join our team as a Quantitative Research Fellow. This role offers an exciting opportunity to work with the project lead (Humphrey) and funder (David Gregson of the Gregson Family Foundation) to finalise and translate the funder’s proposed research strands into actionable statistical analysis plans that can be applied to the #BeeWell dataset, within a dynamic and inclusive environment.

You will be responsible for:

  • Performing statistical analyses of the #BeeWell dataset under the direction of the project lead (Humphrey)
  • Prepare outputs relating to said analyses:
  • Regular verbal updates and periodic written updates for the funder
  • Accessible, non-technical evidence briefings and/or blogs (audience: project partners)
  • Articles for peer-reviewed academic journals (audience: research community)

About You

We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate:

Essential Criteria:

  • Holds a PhD in a relevant field (e.g. psychology, education)
  • Substantial experience working on projects in education, psychology or a related field which involve the management and analysis of large, complex datasets (e.g., cohort studies)
  • Proven skills in advanced quantitative data analysis (e.g. hierarchical linear modelling, structural equation modelling)
  • Advanced skills in use of statistical analysis packages such as R, Stata and/or MPlus

Desirable Criteria:

  • Experience of working within, or in close partnership with, policy-making bodies, government departments, and/or non-governmental organisations
  • Experience of applying quantitative research to influence policy

We value transferable skills and real-world experience as much as formal qualifications.

Our benefits include:

  • Generous employer contribution pension
  • 29 days annual leave plus bank holidays, along with Christmas closure
  • Ride to work and EV car scheme available

For more information, please see University of Manchester Benefits. You can also find information on our Flexible and Hybrid working here.

We are an open place of enquiry and challenge. We embrace and celebrate difference, diversity and debate, and we pride ourselves on being a place of education, learning and community where we are able, within the law, to question and test received wisdom, express new ideas and explore controversial or unpopular topics and opinions. Find out more from our Freedom of Speech Policy.

Enquiries about the role, shortlisting and interviews

Name: Niel Humphrey

Email: neil.humphrey@manchester.ac.uk

General enquiries and administrative support

recruitmentservices.people@manchester.ac.uk

Technical and job portal support

https://jobseekersupport.jobtrain.co.uk/support/home

Applications close at midnight on the closing date.

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