Research Associate (Biostatistics)

Imperial College London - Surgery and Cancer/Computational and Systems Medicine/Medicine

Campus: South Kensington

A talented and motivated scientist in advanced computing or statistical modelling is required to support the PhenoMeNal project, an EU-funded activity to develop e-infrastructures for human metabolomic and related genomic data. The project is building an integrated and sustainable framework for the processing and analysis of medical metabolomics data. PhenoMeNal is generating a cloud based architecture which can support large scale molecular phenotyping activities such as that provided by the MRC-NIHR National Phenome Centre (NPC).  The NPC is a large-scale facility, based at Imperial College, for metabolic phenotyping of humans to discover biomarkers of disease and enhance understanding of the interactions between genes, lifestyle and other environmental factors.

The Research Associate (Biostatistics) post will involve development and adaptation of computational and statistical algorithms for metabolomics. In particular, the post holder will implement new algorithms, migrate and test an existing Bayesian NMR modelling tool to work with new types of experimental data.

Applicants should hold a PhD degree or equivalent in bioinformatics, biostatistics, chemometrics, computer science or similar field. Knowledge of multivariate and Bayesian statistics is essential, as is the ability to learn new methods and techniques quickly.

This full time position is offered for a fixed-term until 31 August 2018 in the first instance.

For further information please contact: Professor Robert Glen (, Dr Tim Ebbels (, or Dr Jake Pearce (

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

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: