Data-Scientist (Bioinformatics/Biostatistics/Computational Biology)

Imperial College London - Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine

Campus: St Mary’s

We seek a talented Biostatistician with expertise in the analysis and interpretation of complex biomedical data, including multi-omics data to join the Institute for Translational Medicine and Therapeutics (ITMAT). ITMAT supports the acceleration of fundamental discoveries into improvements in human health. ITMAT includes platforms in genomic sequencing, metabolic phenotyping, imaging technologies, bioresources and health informatics and supports studies across a broad range of translational clinical medicine. It promotes multidisciplinary research, pulling through biomedical applications from engineering and physical sciences and strategic commercial partnerships.

The post holder will be based primarily in the Department of Epidemiology and Biostatistics, School of Public Health, and will focus on projects in the areas of biostatistics, clinical omics data analysis and molecular epidemiology. The successful candidate will be a part of the ITMAT Data Science Group working at the interface of biostatistics, molecular epidemiology, and computational biology. The ITMAT Group is a talent pool to solve complex scientific problems through computation, and there is potential to collaborate with experimental groups to maximise knowledge deduced from complex multivariate data, leveraging the highly inter-disciplinary collaborative environment that is a feature of research at Imperial College. This post offers a diverse and fascinating mix of scientific technologies while allowing team-based combinations of expertise to solve complex problems in data analysis and visualisation.

We require someone with a PhD, proven knowledge and experience in biostatistics, epidemiology or another closely related discipline, strong skills with commonly used statistical tools and approaches, and a proven interest in scientific/medical problems.

Level of appointment will be based on a track record of research excellence in your field of expertise. We will look to appoint a biostatistician with strong computational skills, who wish to apply their expertise to understanding the aetiology, pathogenesis, and mechanisms of chronic human disease.

The job environment will offer a career structure within the Department of Epidemiology and Biostatistics for a biostatistician with a deep interest in fundamental scientific challenges and the application of advanced novel biostatistical methodologies to solve diverse biomedical problems.

The post is full time and fixed term for 3 years and is based at the St Mary’s Campus, Paddington.

For further detailed information please contact Professor Paul Elliott email: p.elliott@imperial.ac.uk

Our preferred method of application is online via our website at www.imperial.ac.uk/job-applicants (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 SM126-17AL.

Alternatively, if you are unable to apply online, please email adrian.lacey@imperial.ac.uk to request an application form.

Closing Date: 29 October 2017 (Midnight GMT)

Imperial Expectations guide the behaviour of all our staff.

Committed to equality and valuing diversity, we are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.

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 www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation

Share this job
     
  Share by Email   Print this job   More sharing options
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Location(s):

London