Cardiovascular Epidemiology Unit
Salary: Research Assistant: £24,049 – £27,047
Research Associate: £27,854 – £36,298
Senior Research Associate*: £37,382 – £47,314
Senior Research Associate (G9)*, Research Associate (G7) or Research Assistant (G5), depending on qualifications and experience. *NB: The status of Senior Research Associate is awarded on the basis of individual merit and may be awarded to the successful candidate if approved by the Faculty Board of the Cambridge School of Clinical Medicine.
PLEASE NOTE: previous candidates need not apply.
An exciting opportunity has arisen for an ambitious and talented statistician, with an interest in genetics, to join an interdisciplinary team working on large-scale genetic studies of cardiovascular disease at the Cardiovascular Epidemiology Unit at the University of Cambridge. The Cardiovascular Epidemiology Unit (CEU) conducts world-leading interdisciplinary research into the prediction and prevention of cardiovascular disease, with a portfolio of studies that comprises >2.5 million participants and is currently, expanding into genetics. Professor John Danesh is the Unit’s overall Director, Professor Simon Thompson is the Unit’s Director of Research in Biostatistics and Dr Jo Howson leads statistical genetics.
The post holder will be expected to design and implement analyses of genetic datasets from large consortia in relation to cardiovascular disease and its risk factors. Specific examples of these analyses include (but are not limited to):
– analyses of common, low-frequency and rare variants in population-based studies of discrete and quantitative traits;
– fine-mapping and multi-marker tests to locate causal variants;
– pathway analysis using rare and common variants;
– integration of genetic data with biochemical factors for the assessment of causality (“Mendelian Randomisation”);
The post holder will also be expected to advise on appropriate statistical practices, and test and develop the statistical methods necessary to evaluate hypotheses of interest, such as those listed above. The work of the post holder is expected to lead to high-impact publications.
The post-holder will have: (1) relevant qualifications e.g,, a postgraduate degree in statistics, biostatistics, statistical genetics, genetic epidemiology or similar, (2) a sound understanding of statistical concepts, ideally in relation to chronic disease epidemiology (3) strong quantitative skills, including experience of using relevant statistical software (STATA, R) (4) high level report writing and presentational skills (5) a working knowledge of genetics is desirable but not essential. The post-holder should also be able to work independently, accurately judge priorities, and have excellent organisational and communication skills.
This position can be filled by an appropriate candidate at Senior Research Associate, Research Associate or Research Assistant level, depending on relevant qualifications and experience.
Further particulars can be found here
Formal applications consisting of a covering letter, CV and a completed CHRIS 6 form, parts 1 and 3 only to be completed (available from http://www.admin.cam.ac.uk/offices/hr/forms/chris6/) should be sent, preferably by email to Lynette Watson: firstname.lastname@example.org or by post to Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, Cambridge CB1 8RN.
Your cover letter should describe how you meet the person specification for the role.
ALL APPLICATIONS MUST BE RECEIVED BY 5 PM ON THE CLOSING DATE
Informal enquiries can be made to Dr Jo Howson by email (email@example.com) or telephone + 44 (0) 1223 748661.
*Fixed term – The funds for these posts are available until 31 December 2015 in the first instance.
Closing Date: 25 September 2013
Interview Date(s): week commencing 14 October 2013
Quote Reference: RH01602
The post-holder will be based at the Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN