Research Associate in Biostatistics

Job summary

The advertised post as a Research Associate in Biostatistics is an exciting opportunity for a researcher with a strong statistical background to join a multi-disciplinary team of statisticians, epidemiologists, exposure scientists, database managers and clinicians to develop and apply statistical methods for spatial and individual level epidemiological analyses. This post is part of the project titled: “Aircraft Noise and Cardiovascular...

Job listing information

  • Reference MED01668
  • Date posted 21 January 2020
  • Closing date 19 February 2020

Job description

Job summary

The advertised post as a Research Associate in Biostatistics is an exciting opportunity for a researcher with a strong statistical background to join a multi-disciplinary team of statisticians, epidemiologists, exposure scientists, database managers and clinicians to develop and apply statistical methods for spatial and individual level epidemiological analyses.

This post is part of the project titled: “Aircraft Noise and Cardiovascular Outcomes”, funded by the Medical Research Council. The project is a collaboration across the MRC Centre for Environment and Health (prof Marta Blangiardo, prof. Paul Elliott), the University of Leicester (prof Anna Hansell, prof John Gulliver), and University College London (prof Nishi Chaturvedi).

The successful applicant will help answer the substantive question: “does aircraft noise show associations with CVD fatal and non-fatal events?”. This will be done through 1) a small area analysis of mortality/hospital admissions (available from administrative registries) around major UK airports (Heathrow, Gatwick, Manchester, Birmingham, Edinburgh) employing spatial and spatio-temporal methods; 2) the development of sophisticated integrative methods to combine aggregated data at small area with individual level data coming from two cohorts (UK Biobank and The Southall and Brent Revisited (SABRE)) to account for a wide range of confounders (available from the cohorts), while retaining statistical power and spatial coverage.

Duties and responsibilities

• To specify and apply Bayesian hierarchical models to the mortality/hospital admissions counts and noise around major UK airports at small area level, evaluating the suitability of spatial and temporal effects.
• To visually and analytically disseminate the results and the corresponding uncertainty to the scientific community, decision makers and the general public.
• To develop integrative methods in a Bayesian hierarchical framework to combine data from administrative registries and individual level data from the UK Biobank and SABRE cohorts in order to improve the statistical inference to assess the link between airport-derived noise and epidemiological outcomes.
• To submit abstracts and present findings at national and international meetings
• To take a leading role in writing of scientific papers and to publish in high quality journals
• To work cooperatively as part of multidisciplinary teams
• To contribute to the teaching (Undergraduate and/or Postgraduate) delivered by the department of 5-15 hours per year, usually in the form of assisting/leading tutorial or practical sessions to small groups of students or to participants of short courses.

Essential requirements

• A thorough working knowledge of modern applied statistical techniques, including multilevel modelling and small area analyses
• Demonstrable experience of analysing epidemiological/biomedical data for research purposes
• A good understanding of epidemiological/biomedical concepts and techniques that apply to a wide range of study designs
• Experience of working in multi-disciplinary teams
Record of publications in peer-reviewed journals

Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £35,477 - £38,566 per annum.

Further information

The post is offered for 20 months. For informal enquiries please contact Prof Marta Blangiardo: m.blangiardo@imperial.ac.uk.

Our preferred method of application is online via our website (please select “Job Search” then enter the job title or vacancy reference number into “Keywords”). Please complete and upload an application form as directed quoting reference number MED01668

For technical issues when applying online please email recruitment@imperial.ac.uk


The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

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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.