Research Associate — Data-Driven, Collaborative Scholar

RFCSR

Greater London

On-site

GBP 34,000 - 54,000

Full time

14 days+

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Job summary

Queen Mary University of London is seeking to appoint a Research Associate to contribute to an active and impactful research programme within the university. The postholder will join a collaborative academic environment and support the delivery of high-quality research aligned with institutional priorities.

The role involves undertaking independent and team-based research, contributing to the design and execution of research projects, and producing high-quality outputs suitable for publication

Qualifications

  • Applicants must hold a PhD (or be close to completion) in a relevant discipline.
  • Evidence of a strong academic background and research capability.
  • Demonstrated ability to conduct high-quality independent and collaborative research.
  • Strong writing skills with potential for peer-reviewed publication.

Responsibilities

  • Undertake independent and team-based research; contribute to project design and execution.
  • Lead data collection, analysis, and interpretation; maintain research records.
  • Prepare outputs suitable for publication in leading academic journals.
  • Support research dissemination activities and engagement with funding proposals.
  • Assist in teaching, mentoring students, and contribute to broader academic life.

Skills

Independent research
Research design
Data collection
Data analysis
Academic writing
Team collaboration
Time management

Education

PhD or near completion

Job description

Queen Mary University of London is seeking to appoint a Research Associate to contribute to an active and impactful research programme within the university. The postholder will join a collaborative academic environment and support the delivery of high-quality research aligned with institutional priorities.

The role involves undertaking independent and team-based research, contributing to the design and execution of research projects, and producing high-quality outputs suitable for publication

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