£25,298 - £29,301 (Research Assistant)
£29,301 - £38,183 (Research Associate)
We seek to recruit an ambitious and talented statistical analyst wishing to apply their skills in the field of the genomics of cardiovascular diseases. Cardiovascular disease is a leading cause of mortality worldwide with a large healthcare burden. Hence, we wish to understand the causes of cardiovascular disease with the underlying aim of prevention. We have a strong track record in identifying risk loci in the nuclear genome and making insights into the biological mechanisms involved with implications for therapeutic interventions, however the mitochondrial genome is largely unexplored.
The successful candidate will use computational and statistical techniques to investigate the role of mitochondrial DNA in cardiovascular diseases and risk factors, with the aim of developing new and targeted therapeutic strategies. They will have access to exceptional world-leading large-scale studies of cardiovascular diseases at the Cardiovascular Epidemiology Unit (CEU), University of Cambridge. This will include access to blood `omics e.g. proteomics, metabolomics and lipidomics, genotype array data in over 500,000 individuals and whole genome sequencing data in up to 40,000 individuals. As this data is largely unanalysed, there is expected to be a need for some statistical methods work in addition to applied analyses. The work is expected to lead to high-impact publications.
The successful candidate will have relevant post-graduate training in genetic epidemiology or applied statistics e.g. PhD in Statistics, Statistical Genetics, Medical Statistics, Genetic Epidemiology, Biostatistics, Applied Mathematics, or equivalent experience, with a good understanding of inferential and statistical concepts and a broad range of statistical techniques with strong organisational and interpersonal skills and excellent verbal and written communication skills. The ability to communicate and present results to other statisticians, bioinformaticians, epidemiologists, clinicians and scientists and experience of using relevant statistical software, e.g. Stata or R is essential. Ideally with a working knowledge of genetics, preferably in relation to chronic disease epidemiology and a strong interest in mitochondrial DNA and the role of mitochondria in disease with experience analysing large, multi-dimensional biological datasets but this is not essential.
Appointment at research associate is dependent on having a PhD (or equivalent experience), 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.
To apply online for this vacancy and to view further information about the role, please visit:
http://www.jobs.cam.ac.uk/job/12629. This will take you to the role on the University’s Job Opportunities pages. There you will need to click on the 'Apply online' button and register an account with the University's Web Recruitment System (if you have not already) and log in before completing the online application form.
The funds for this post is are available 2 years from commencement.
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: Liza Clarke ([log in to unmask]) or telephone 01223 748622.
Interview Date: Week 20th February 2017
Please ensure that you upload a covering letter and CV in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
£25,298 - £29,301 (Research Assistant)
£29,301 - £38,183 (Research Associate)
We seek to recruit an ambitious and talented statistical analyst wishing to apply their skills in the field of the genomics of cardiovascular diseases. Cardiovascular disease is a leading cause of mortality worldwide with a large healthcare burden. Hence, we wish to understand the causes of cardiovascular disease with the underlying aim of prevention. We have a strong track record in identifying risk loci in the nuclear genome and making insights into the biological mechanisms involved with implications for therapeutic interventions, however the mitochondrial genome is largely unexplored.
The successful candidate will use computational and statistical techniques to investigate the role of mitochondrial DNA in cardiovascular diseases and risk factors, with the aim of developing new and targeted therapeutic strategies. They will have access to exceptional world-leading large-scale studies of cardiovascular diseases at the Cardiovascular Epidemiology Unit (CEU), University of Cambridge. This will include access to blood `omics e.g. proteomics, metabolomics and lipidomics, genotype array data in over 500,000 individuals and whole genome sequencing data in up to 40,000 individuals. As this data is largely unanalysed, there is expected to be a need for some statistical methods work in addition to applied analyses. The work is expected to lead to high-impact publications.
The successful candidate will have relevant post-graduate training in genetic epidemiology or applied statistics e.g. PhD in Statistics, Statistical Genetics, Medical Statistics, Genetic Epidemiology, Biostatistics, Applied Mathematics, or equivalent experience, with a good understanding of inferential and statistical concepts and a broad range of statistical techniques with strong organisational and interpersonal skills and excellent verbal and written communication skills. The ability to communicate and present results to other statisticians, bioinformaticians, epidemiologists, clinicians and scientists and experience of using relevant statistical software, e.g. Stata or R is essential. Ideally with a working knowledge of genetics, preferably in relation to chronic disease epidemiology and a strong interest in mitochondrial DNA and the role of mitochondria in disease with experience analysing large, multi-dimensional biological datasets but this is not essential.
Appointment at research associate is dependent on having a PhD (or equivalent experience), 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.
To apply online for this vacancy and to view further information about the role, please visit:
http://www.jobs.cam.ac.uk/job/12629. This will take you to the role on the University’s Job Opportunities pages. There you will need to click on the 'Apply online' button and register an account with the University's Web Recruitment System (if you have not already) and log in before completing the online application form.
The funds for this post is are available 2 years from commencement.
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: Liza Clarke ([log in to unmask]) or telephone 01223 748622.
Interview Date: Week 20th February 2017
Please ensure that you upload a covering letter and CV in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
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