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Research Fellow - Cochrane Reviews / Evidence Synthesis

Queen's University Belfast - School of Medicine, Dentistry and Biomedical Sciences

Location: Belfast
Salary: £42,972 to £51,270 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 13th July 2026
Closes: 27th July 2026
Job Ref: 26/113397

About the job:

This post offers an exciting opportunity to join a collaborative programme of systematic review work conducted jointly with Cochrane Cystic Fibrosis and the wider Cochrane global network.

The post-holder will contribute to the delivery of a suite of Cochrane reviews and related evidence synthesis outputs in child health, including reviews addressing key questions in cystic fibrosis and perinatal infection. The work will draw on Cochrane’s established methodological framework and will involve working closely with the Cochrane Information Specialist, Managing Editor, academic supervisors and wider project collaborators.

The role will include developing review protocols, screening studies, extracting data, undertaking risk-of-bias assessment, synthesising evidence, performing meta-analysis where appropriate, and preparing manuscripts for publication in the Cochrane Library and/or peer-reviewed journals.

About the person:

Candidates should clearly demonstrate how they meet the following criteria:

  • Have or about to obtain PhD in relevant discipline.
  • Significant research experience and skills relevant to evidence synthesis, paediatrics, infection, epidemiology, or another field aligned to the programme of work.
  • Experience conducting systematic reviews, preferably including familiarity with Cochrane methodology (e.g., protocol development, study selection, data extraction, risk‑of‑bias assessment, and synthesis).
  • Demonstrated experience of research methods and techniques pertinent to evidence synthesis, such as meta‑analysis, narrative synthesis, diagnostic test accuracy reviews, or other methodologies relevant to the post.
  • Experience using systematic review software and analytical tools, or statistical software appropriate for meta‑analysis.
  • Experience working with clinical, epidemiological, or diagnostic data, and an ability to understand and interpret study designs commonly used in clinical research.
  • Experience of project management, delivering research outputs to deadlines, and proven ability to work effectively within a multi‑disciplinary research environment.
  • A good presentation and publication record commensurate with career stage, including contributions to peer‑reviewed outputs.

To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website

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