Senior Research Fellow / Research Fellow in Medical Statistics

The School of Medicine, Dentistry & Biomedical Sciences (MDBS) at Queen’s University Belfast, is currently seeking to recruit a talented Senior Research Fellow / Research Fellow in Medical Statistics.

The postholder will join the research team led by Dr John Busby and Prof Liam Heaney working on several projects related to chronic inflammatory disease, with an initial focus on chronic respiratory disease (e.g. severe asthma, chronic obstructive pulmonary disease [COPD] and interstitial lung disease). The post is funded by the HRD-UK as part of the Inflammation and Immunity Driver Project 2 (DP2) programme.

The applicant will initially lead on projects building a UK-wide linked cohort of patients with asthma using data from UK Trusted Research Environments – this work will be piloted in Northern Ireland and will then be expanded to cover other UK nations. This linked data will create a unique resource and will be used for both retrospective and prospective research projects. In parallel, similar linkage will be advance in other disease areas in collaboration with UK Partners in the DP2 programme, with opportunities to lead on specific research programmes in this area.

The post holder will be responsible for liaising with local stakeholders in Northern Ireland to achieve the appropriate approvals for all NI linked data. They will work with partners from across the UK to ensure that standardised definitions are aligned with similar datasets in England, Scotland and Wales to ensure future interoperability. The post holder will take the lead in conducting relevant analyses and publishing these in high impact respiratory journals.

Appointment will be based on experience at AC3 or AC2 as demonstrated at interview.

The successful candidate must have, and your application should clearly demonstrate that you meet the following criteria:

• Have a relevant PhD in epidemiology, applied mathematics/statistics or related discipline.
• Substantial relevant experience in quantitative research.
• Substantial experience of using statistical packages such as STATA to conduct reproducible research.
• A high academic standing with a growing reputation in research within subject specialism.
• A sustained publication record in peer reviewed/refereed journals or invited presentations that are REF returnable.

Please note the above are not an exhaustive list. For further information about the role including the essential and desirable criteria, please visit our website.