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

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