Research Associate in Systems Genomics

University of Cambridge

We are currently seeking applicants for a postdoctoral research position in systems genomics at the Cardiovascular Epidemiology Unit (CEU), Department of Public Health and Primary Care, University of Cambridge. The post will suit an ambitious and talented researcher, who is interested in applying their skills in the genetics/genomics field.

The successful candidate will be involved in statistical analyses of cardiovascular outcomes and risk factors using multi-omic data, including genetic, proteomic, metabolomic, transcriptomic, and metagenomics data.

The CEU conducts world-leading interdisciplinary research with a major focus on the prediction and prevention of cardiovascular diseases using studies conducted in more than 2.5 million participants. Professor John Danesh is the Unit's overall Director. Dr Michael Inouye is a Principal Researcher in Systems Genomics in the unit and the position's supervisor.

The primary role of the post holder will be to lead systems genomics projects, involving the joint statistical analysis and interpretation of multi-omic data and development of new methodology using the Unit's vast portfolio of genetic and multi-omic data. Currently this data comprises ~100,000 participants with extensive information on many cardiovascular risk factors and genetic data measured using various microarrays, ~50,000 participants with metabolomics data, and ~3,000 participants with plasma proteomics data. Imminent experiments will vastly increase the wealth and types of multi-omic data available for these cohorts.

Essential Qualifications/Skills

- PhD in one of the following subjects - Systems Biology, Bioinformatics, Statistics, Biostatistics, Statistical Genetics, Mathematics or similar or have equivalent experience.

- Experience working with multi-omic data types, including quality control and statistical analysis.

- Experience with inference and analysis of networks for analysis of multi-omic data.

- A sound understanding of statistical concepts, ideally in relation to genetics.

- Strong quantitative (in silico) analysis skills using statistical programming packages such as R.

- Experience of statistical method development.

- High level report writing and presentational skills.

Appointment at research associate is dependent on having a PhD (or equivalent experience is recognised), including those who have submitted but not yet received their PhD. Where a PhD has yet to be awarded appointment will initially be made at research assistant and amended to research associate when the PhD is awarded.

The funds for these posts are available until 1st June 2021.

Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, Cambridge CB1 8RN (approx 2 miles south of city centre)

Informal enquiries can be made to Dr Michael Inouye (

To apply online for this vacancy and to view further information about the role, please visit:

Interview Date: week commencing 30th April 2018

Please ensure that you upload a covering letter and CV in the Upload section of the online application.  The covering letter should outline how you match the criteria for the post and why you are applying for this role.  If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including e-mail address and phone number, one of which must be your most recent line manager.

Please quote reference RH15151 on your application and in any correspondence about this vacancy.

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