Research Assistant (Education) - Writtle Campus

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

Job summary

A research institution in the UK is looking for a Research Assistant to support an Animal Science project. This role focuses on data handling and analysis, utilizing large datasets to explore relationships in higher education. Ideal candidates will have strong statistical skills and proficiency in software like SPSS or R. The position is part-time at 22.5 hours per week, with applications closing on 30th November.

Qualifications

• Experience with quantitative data analysis in educational contexts.
• Familiarity with HESA datasets preferred.
• Interest in education policy and inclusion.

Responsibilities

• Manage national-level datasets in compliance with protocols.
• Conduct statistical analyses to identify trends.
• Create data visualisations like charts and dashboards.
• Summarise findings in reports and infographics.
• Contribute to project outputs and attend meetings.

Skills

Strong quantitative data analysis skills with experience handling large datasets

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

Excellent attention to detail and data integrity

Strong written and verbal communication skills

Ability to work independently and collaboratively within a small team

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