Impact-Driven Research Assistant — Implementation Science

Queen Mary University of London

Greater London

On-site

GBP 39,000 - 40,000

Full time

6 days ago
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Benefits offered by this job

Pension scheme
30 days’ leave per year
Season ticket loan
Development opportunities
Flexible working arrangements
Campus facilities

Job summary

Queen Mary University of London invites applications for a Research Assistant to support the process evaluation of a cluster randomised trial comparing community appointment days with standard physiotherapy for musculoskeletal conditions. You will recruit participants, obtain consent, collect data, run surveys and interview staff and patients.

You will assist with data management and analysis, contribute to reports and dissemination, and gain experience across the full research cycle.

Qualifications

  • Undergraduate degree plus postgraduate qualification in a relevant field or equivalent research experience.
  • Experience supporting research projects in health services or musculoskeletal topics.
  • Knowledge of governance processes (ethics, data protection, GCP) is essential.

Responsibilities

  • Approach and recruit participants and obtain informed consent.
  • Coordinate data collection, administer surveys and conduct interviews.
  • Support management and analysis of quantitative and qualitative data.
  • Contribute to study reports, conference presentations and publications.

Skills

Organisational skills
Communication skills
Collaborative work
Interviewing techniques

Education

Bachelor's degree
Postgraduate qualification in implementation sciences / psychology / social sciences

Job description

Queen Mary University of London invites applications for a Research Assistant to support the process evaluation of a cluster randomised trial comparing community appointment days with standard physiotherapy for musculoskeletal conditions. You will recruit participants, obtain consent, collect data, run surveys and interview staff and patients.

You will assist with data management and analysis, contribute to reports and dissemination, and gain experience across the full research cycle.

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