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Position: Senior Research Fellow/Research Fellow in Medical Statistics
Institution: Queen's University Belfast
Location: Belfast Northern Ireland United Kingdom
Duties: 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
Requirements: 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
Text: skip to job profile skip to job details Career Opportunities at Queen's My applications My profile Contact us Job details Job details Job reference 24/111833 Date posted 22/04/2024 Application closing date 13/05/2024 Salary Senior Research Fellow - £46,497 - £57,141 per annum. Research Fellow- £37,841 to £45,148 per annum. Job category/type Research Attachments Blank Senior Research Fellow / Research Fellow in Medical Statistics Job description 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. 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 is not an exhaustive list. For further information about the role including the essential and desirable criteria click on the 'Candidate Information' link below. This post is available on a part time fixed term contract for 24 months. Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding. At Queen’s our people are at the heart of everything we do. As a staff member you will become part of a vibrant organisational culture, which will provide you with the opportunity to achieve your full potential and enhance your career through a continuous focus on learning and development. We offer an excellent employment package that includes: Great terms & conditions Pension schemes Flexible working by enabling you to design your working week in collaboration with your manager through a blend of remote and office working Family-friendly initiatives Career development opportunities Support for health & mental wellbeing Generous holiday entitlement of 8.4 weeks a year (made up of 23 days annual leave, 10 closure days and 9 bank holidays) Queen’s University is committed to promoting equality of opportunity to all. We have created an inclusive culture by establishing staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ ) which help us progress equality. We also subscribe to Equality Charter Marks such as the Diversity Charter Mark NI in addition to Athena Swan. For further information on our commitment to Equality, Diversity and Inclusion, please visit: www.qub.ac.uk/diversity ; www.qub.ac.uk/qgi and www.qub.ac.uk/sites/StaffGateway/StaffNetworks/ Informal enquiries may be directed to Professor Christopher Cardwell at c.cardwell@qub.ac.uk Candidate Information About the Institute Attractive Reward Package Further Information for International Applicants Apply online Job title Senior Research Fellow / Research Fellow in Medical Statistics Job reference 24/111833 Date posted 22/04/2024 Application closing date 13/05/2024 Salary Senior Research Fellow - £46,497 - £57,141 per annum. Research Fellow- £37,841 to £45,148 per annum. Job category/type Research Attachments Blank Job description 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. 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 is not an exhaustive list. For further information about the role including the essential and desirable criteria click on the 'Candidate Information' link below. This post is available on a part time fixed term contract for 24 months. Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding. At Queen’s our people are at the heart of everything we do. As a staff member you will become part of a vibrant organisational culture, which will provide you with the opportunity to achieve your full potential and enhance your career through a continuous focus on learning and development. We offer an excellent employment package that includes: Great terms & conditions Pension schemes Flexible working by enabling you to design your working week in collaboration with your manager through a blend of remote and office working Family-friendly initiatives Career development opportunities Support for health & mental wellbeing Generous holiday entitlement of 8.4 weeks a year (made up of 23 days annual leave, 10 closure days and 9 bank holidays) Queen’s University is committed to promoting equality of opportunity to all. We have created an inclusive culture by establishing staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ ) which help us progress equality. We also subscribe to Equality Charter Marks such as the Diversity Charter Mark NI in addition to Athena Swan. For further information on our commitment to Equality, Diversity and Inclusion, please visit: www.qub.ac.uk/diversity ; www.qub.ac.uk/qgi and www.qub.ac.uk/sites/StaffGateway/StaffNetworks/ Informal enquiries may be directed to Professor Christopher Cardwell at c.cardwell@qub.ac.uk Candidate Information About the Institute Attractive Reward Package Further Information for International Applicants Apply online Apply online Privacy Notice © Queen's University Belfast 2020, University Road Belfast, BT7 1NN, Northern Ireland, UK.
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