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Position: Research/Assistant/Research Associate
Institution: Imperial College London
Location: London, United Kingdom
Duties: You will contribute mainly to the development of the predictive risk score through harmonisation and integration of information on outcomes and exposures from contributing studies. The predictive model will be developed within a Bayesian framework, and predictive factors under consideration include lifestyle, environmental, occupational and genetic factors. This post provides a unique opportunity to join a world leading team of researchers and to develop insight into our understanding of lung health while contributing to the statistical work required for the project
Requirements: You should have either an MSc (Research Assistant) or a PhD (Research Associate) in medical statistics or related fields, with expertise in the application of Bayesian methods. The post requires regular communication with 10 research centres in Europe and elsewhere therefore it is critical that the candidates can demonstrate excellent teamwork and communication skills
   
Text: Research/Assistant/Research Associate Apply now Save this job Job summary The Population Health & Occupational Disease group seeks a Medical Statistician as a Research Assistant or Research Associate (depending on the applicant’s qualifications) to work on the H2020 EU-funded Aging Lungs in European Cohorts (ALEC) project. ALEC will generate a risk prediction score for chronic obstructive pulmonary disease using life course and cross-sectional data from several large epidemiological studies in Europe and Australia. Job listing information Reference MED00629 Date posted 6 July 2018 Closing date 19 July 2018 Key information about the role Location Royal Brompton Campus (map) Position type Full time, fixed term Salary £32,380 - £44,220 plus benefits Department National Heart & Lung Institute Category Researcher / Non Clinical Researcher Job description Job summary The Population Health & Occupational Disease group seeks a Medical Statistician as a Research Assistant or Research Associate (depending on the applicant’s qualifications) to work on the H2020 EU-funded Aging Lungs in European Cohorts (ALEC) project. ALEC will generate a risk prediction score for chronic obstructive pulmonary disease using life course and cross-sectional data from several large epidemiological studies in Europe and Australia. Duties and responsibilities You will contribute mainly to the development of the predictive risk score through harmonisation and integration of information on outcomes and exposures from contributing studies. The predictive model will be developed within a Bayesian framework, and predictive factors under consideration include lifestyle, environmental, occupational and genetic factors. This post provides a unique opportunity to join a world leading team of researchers and to develop insight into our understanding of lung health while contributing to the statistical work required for the project. Essential requirements You should have either an MSc (Research Assistant) or a PhD (Research Associate) in medical statistics or related fields, with expertise in the application of Bayesian methods. The post requires regular communication with 10 research centres in Europe and elsewhere therefore it is critical that the candidates can demonstrate excellent teamwork and communication skills. Further information This position is full- time and fixed term until 30 April 2019 Salary: Research Assistant - £32,380 - £34,040 per annum Research Associate - £36,800 - £44,220 per annum Should you have any queries please contact: Dr Cosetta Minelli (cosetta.minelli1@imperial.ac.uk) or Professor Deborah Jarvis (d.jarvis@imperial.ac.uk) For technical issues when applying online, please contact: recruitment@imperial.ac.uk Documents MED00629 JD final.docx About Imperial College London Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world. You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City. We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces. It’s our mission to achieve enduring excellence in all that we do for the benefit of society - and we are looking for the most talented people to help us get there. Additional information Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities. All Imperial employees are expected to follow the 7 principles of Imperial Expectations: Champion a positive approach to change and opportunity Communicate regularly and effectively within, and across, teams Consider the thoughts and expectations of others Deliver positive outcomes Encourage inclusive participation and eliminate discrimination Develop and grow skills and expertise Work in a planned and managed way In addition to the above, employees are required to observe and comply with all College policies and regulations . Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.
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