Quantitative Research Fellow: #BeeWell

Quantitative Research Fellow: #BeeWell

Full-Time 35000 - 45000 £ / year (est.) No working from home possible
The University of Manchester

At a Glance

  • Tasks: Conduct statistical analyses and create impactful reports from the BeeWell dataset.
  • Company: Join a dynamic team focused on innovative research in education and psychology.
  • Benefits: Enjoy generous leave, pension contributions, and eco-friendly transport schemes.
  • Other info: Inclusive environment welcoming diverse backgrounds and experiences.
  • Why this job: Make a real difference by influencing policy through your research skills.
  • Qualifications: PhD in a relevant field and experience with complex datasets required.

The predicted salary is between 35000 - 45000 £ per year.

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 and the funder 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. We encourage applications from individuals with a wide range of backgrounds and experiences.

Key Responsibilities

  • Perform statistical analyses of the BeeWell dataset under the direction of the project lead.
  • Prepare outputs relating to said analyses.
  • Provide regular verbal updates and periodic written updates for the funder.
  • Produce accessible, non‑technical evidence briefings and/or blogs for project partners.
  • Write articles for peer‑reviewed academic journals for the research community.

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 involving 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 the 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.

Benefits

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

Contact Details:

The University of Manchester Recruitment Team

We think you need these skills to ace Quantitative Research Fellow: #BeeWell

Statistical Analysis
Data Management
Quantitative Data Analysis
Hierarchical Linear Modelling
Structural Equation Modelling
R
Stata