Department: Blizard Institute
Salary: £34,220 to £40,194 per annum inclusive of London Allowance (Grade 5)
Date posted: 06-Jan-2020
Closing date: 03-Feb-2020
Applications are sought for this exciting post, based within the world-leading, Wellcome Trust-funded, Genes & Health research programme. The successful candidate will lead cutting-edge research into multimorbidity, supported by a major new MRC grant, led by Dr Sarah Finer. The postholder will study multimorbidity clusters and their lifecourse trajectories in British south Asians using high quality, multisource, electronic health data from: (a) Genes & Health (n=46,000+ British Bangladeshis and British Pakistanis) and (b) east London population-wide primary care data (n=1.05million). The postholder will also have important role in supporting interdisciplinary research investigating the potential genetic causation of multimorbidity, working with world-class genomic scientists at the Wellcome Trust Sanger Institute. The successful candidate will generate novel insights into multimorbidity with significant potential impact on health, and they will contribute to a rapidly expanding subject area receiving major research investment by UKRI funders. There is a strong commitment to personal and professional development within the QMUL, and the successful applicant will be encouraged to develop their own ideas and projects and build up a strong academic profile, supported by a strong collaborative research network.
The post is based in a stimulating research environment at the Blizard Institute, Queen Mary University of London. The Blizard Institute hosts a wide range of high-quality biomedical research, is a substantive site for Health Data Research UK (London) and has recently received a £5.5 million award from the Wellcome Trust to host a PhD programme in Health Data Science. Close links to the Computer Science department at QMUL, and the Life Sciences Centre at Barts Health bring collaborative opportunities in artificial intelligence and machine learning. Barts and the London School of Medicine and Dentistry was ranked 3rd in the UK by the Guardian University Guide 2018, and is placed in the top 7 institutions for clinical medicine in the UK 2014 Research Excellence Framework.
You are an ambitious individual who brings skills from a PhD (or equivalent experience) in epidemiology, data science and/or statistics, including experience of working with large datasets, and undertaking analyses at scale. You will have an interest in using routine health data to generate new insights into multimorbidity. You will have the ability to work independently and as part of a wider interdisciplinary research team, with excellent communication and organisational skills.
The post is a full-time, fixed term appointment for 3 years, starting in March 2020 or as soon as possible thereafter. Starting salary will be in the range £34,220 to £40,194 per annum inclusive of London Allowance. Benefits include 30 days annual leave, pension scheme and interest-free season ticket loan.
Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme.
Informal enquiries should be addressed to Dr Sarah Finer, Clinical Senior Lecturer in Diabetes, and deputy lead for Genes & Health at email@example.com
To apply for the role, please click the ‘apply’ button below.
The closing date for applications is 03 February 2020. Interviews will be held shortly thereafter.
Valuing Diversity & Committed to Equality
The School of Medicine and Athena SWAN Charter for Women in Science.
The School of Medicine holds a Silver Athena SWAN Award. We are committed to the equality of opportunities and to advancing women’s careers. We have policies to support staff returning from long-term absence, for flexible arrangements for staff with parental responsibilities and for childcare support. As part of the School’s commitment to the Athena SWAN principles we strongly encourage applications from women.