Research Assistant (Education) - Writtle Campus

ARU; Writtle; On-site; GBP 60,000 - 80,000; Part time

Job summary

A higher education institution in the UK is seeking a Research Assistant to support their Animal Science team in a short-term project. The role involves data handling, statistical analysis, and contributing to research that examines key performance metrics within higher education. Applicants should have strong quantitative skills and proficiency in statistical software. This is a part-time position of 22.5 hours per week with a rate of £16.19 per hour.

Qualifications

• Experience handling large, complex datasets.
• Ability to perform statistical tests and interpret results accurately.
• Strong familiarity with data governance protocols.

Responsibilities

• Access and manage national-level datasets.
• Conduct statistical analyses to identify trends.
• Create clear data visualisations.
• Support classification of land-based subject areas.
• Summarise findings in reports and infographics.
• Attend weekly team meetings.

Skills

Strong quantitative data analysis skills

Proficiency in statistical software (SPSS, R, Python, or Stata)

Ability to clean and manage datasets

Excellent attention to detail

Strong written and verbal communication skills

Ability to work independently and collaboratively

Tools

SPSS

R

Python

Stata

Job description

Hours: 22.5 hours per week

Hourly Rate: £16.19

DBS Required: Yes

About the Role

We are seeking a Research Assistant to join our Animal Science team on a short-term project. This role will play a central part in data handling, analysis, and interpretation, supporting research that explores relationships between disability, demographic factors, and key performance metrics within higher education.

Key Responsibilities

• Access and manage national-level datasets (HESA/HEIDI Plus) in compliance with data governance protocols.
• Conduct descriptive and inferential statistical analyses to identify trends and relationships.
• Create clear and engaging data visualisations, including charts, tables, and dashboards.
• Support classification of land-based subject areas within national datasets.
• Summarise findings in written reports, tables, and infographics.Contribute to project outputs, including internal briefings.
• Attend weekly team meetings.

Essential Skills & Experience

• Strong quantitative data analysis skills with experience handling large, complex datasets.
• Proficiency in statistical software (e.g., SPSS, R, Python, or Stata).
• Ability to clean and manage datasets, perform statistical tests, and interpret results accurately.
• Excellent attention to detail and commitment to data integrity.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively within a small research team.

Desirable Attributes

• Familiarity with higher education datasets (e.g., HESA student or graduate outcomes data).
• Experience analysing demographic or EDI-related data.
• Interest in widening participation, disability inclusion, or education policy.
• Understanding of UK higher education, particularly land-based or applied science disciplines.

How to Apply

Please submit your CV and a short statement outlining your relevant experience.

Application closing: 30th November

Proposed Interviews: 2nd Week of December