Post Doctoral Research Associate in Statistical Genetics

King's College London - Department of Medical & Molecular Genetics

The salary will be paid at Grade 6, £33,518 to £36,613 per annum, plus £2,923 per annum London Allowance.

This post will be Fixed Term Contract for 2 years

This is a Full-time post.  Part-time role considered. 

We are recruiting a highly skilled and motivated postdoctoral researcher in statistical genetics to work on cerebral small vessel disease and its clinical endpoints such as stroke and dementia. 

The postholder will join the Statistical Genetics Unit at King’s College London, and collaborate closely with Dr Matthew Traylor and Professor Hugh Markus at the University of Cambridge. 

The role requires statistical and bioinformatics research of an international standard.  Using extensive UK and international studies, the postholder will perform genetic association, post-GWAS analysis and polygenic epidemiology to uncover the genetic contribution to cerebral small vessel disease and clinical phenotypes. 

This is an excellent opportunity for a postdoctoral researcher to join a thriving research collaboration and develop their research profile in a fast-moving, exciting field.  Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. Should the successful candidate be awaiting the award of their PhD, the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant until confirmation of the award of the PhD has been received. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6, spine point 31.

The selection process will include a panel interview and research presentation.

For an informal discussion to find out more about the role please contact Professor Cathryn Lewis (cathryn.lewis@kcl.ac.uk)

To apply for this role, please go to the King’s College London HireWire Job Board and register to download and submit the specified application form.

The deadline for applications is midnight on 28 September 2017.

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