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Position: Research Associate (Epidemiology or Health Data Science)
Institution: Queen Mary University of London
Location: London, United Kingdom
Duties: The post will involve analysis of already collected longitudinal data on multimorbidity across the lifespan, focusing on depression, anxiety and cardiometabolic disorders. The postholder will lead health data analysis within Genes & Health for the LINC programme, and will also be an integral part of building cross-cohort analyses across health, genetic and social data
Requirements: You will bring expertise from a PhD (or equivalent experience) in epidemiology, data science, computer science or statistics. You will have experience of health research and analysis of large datasets. You will be highly motivated, and your interests, skills and ability to work collaboratively will deliver high quality, impactful research. You will have excellent opportunities for your own personal and professional development
   
Text: Human Resources What we do Contact Jobs Working at QMUL Procedures Equality Occupational Health Forms MyHR A-Z Home / Jobs / items All Jobs Academic and Research Jobs Clinical and Medical Jobs Management and Professional Jobs Technical and Lab Based Jobs Administration Jobs Catering, Domestic and Manual Jobs Internal Candidates Only Job Alerts If you have applied for a vacancy using our e-Recruitment system you can access your candidate portal by logging into the system: e-Recruitment Login RSS Research Associate (Epidemiology or Health Data Science) - QMUL25960 Department: Institute of Population Health Sciences Salary: £38,655 per annum (Grade 5) Reference: QMUL25960 Location: Whitechapel Date posted: 07-Sep-2021 Closing date: 29-Sep-2021 Job profile Apply online Overview: About the Role A position is available for a Research Associate to work with the prestigious Genes & Health research programme, as part of a major new MRC-funded research grant on multimorbidity, the Lifespan Multimorbidity Research Collaborative (LINC). The successful candidate will work with a large multi-site international consortium, comprising Genes & Health, ALSPAC, Born In Bradford, UK Biobank and iPSYCH cohorts. The post will involve analysis of already collected longitudinal data on multimorbidity across the lifespan, focusing on depression, anxiety and cardiometabolic disorders. The postholder will lead health data analysis within Genes & Health for the LINC programme, and will also be an integral part of building cross-cohort analyses across health, genetic and social data. About You You will bring expertise from a PhD (or equivalent experience) in epidemiology, data science, computer science or statistics. You will have experience of health research and analysis of large datasets. You will be highly motivated, and your interests, skills and ability to work collaboratively will deliver high quality, impactful research. You will have excellent opportunities for your own personal and professional development. About the School/Department/Institute/Project The post will be based in a stimulating, interdisciplinary academic environment at the Wolfson Institute for Population Health. You will be part of the Genes & Health research team which has a cross-institute, strategic presence at QMUL. About Queen Mary QMUL is a leader in genomics and health data science, through close partnership with Health Data Research UK and the Alan Turing Institute. At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers. We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form. Benefits We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus. The post is based at the Wolfson Institute for Population Health, Whitechapel Campus, QMUL. It is a 4 year full time, fixed term appointment, with expected start date 1st December 2021. The starting salary will be Grade 5, point 31 (£38,655 per annum), inclusive of London Allowance. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly. Informal enquiries should be addressed to Dr Sarah Finer s.finer@qmul.ac.uk To apply for the role, please click the ‘apply’ button below. Closing date for applications: 29 September 2021. Apply online Admin Site Map Disclaimer Accessibility Privacy and cookies Page maintained by Human Resources Queen Mary University of LondonMile End RoadLondon E1 4NSTel: +44 (0)20 7882 5555 © Queen Mary University of London.
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