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Position: Research Assistant/Associate - Systems Genomics
Institution: University of Cambridge
Department: Public Health and Primary Care
Location: Cambridge, Cambridgeshire, United Kingdom
Duties: The successful candidate will be involved in statistical analyses of multi-omic data, including genomic, proteomic, metabolomic, transcriptomic, and metagenomics data, as well as electronic health records. The aims of this research are (i) to identify causal variants and disease pathways which may inform drug target prioritisation, (ii) build polygenic models of diseases which maximise prediction in conjunction with known and novel risk factors, and (iii) develop and apply machine learning approaches which identify and characterise disease subtypes and their underlying causal risk factors
Requirements: The post would suit ambitious researchers, who are interested in applying their analytical skills in the fields of genetics/genomics, network biology and machine learning in biomedicine. The post-holder will be educated to PhD level (or have equivalent qualifications or experience) in one of the following subjects: Systems Biology, Bioinformatics, Statistics, Biostatistics, Statistical Genetics, Computer Science, Mathematics or similar
   
Text: Research Assistant/Associate in Systems Genomics (Fixed Term) Research Assistant - £25,728 - £30,688 Research Associate - £31,604 - £38,833 We are currently seeking applicants for a postdoctoral research position in systems genomics at the recently formed Cambridge Baker Systems Genomics Initiative (CBSGI) in the Department of Public Health and Primary Care (DPHPC). The post would suit ambitious researchers, who are interested in applying their analytical skills in the fields of genetics/genomics, network biology and machine learning in biomedicine. The Cambridge Baker Systems Genomics Initiative is an international partnership between the DPHPC and the Baker Heart and Diabetes Institute (Melbourne, Australia). CBSGI conducts world-leading interdisciplinary research with a major focus on the development of statistical and machine learning approaches as well as the application of bespoke approaches to multi-omics data from studies of > 100,000 participants, with the goal of improving the prediction and prevention of cardiometabolic, respiratory and related diseases. The Director of CBSGI is Associate Professor Michael Inouye, a Principal Researcher in Systems Genomics at the University of Cambridge and the position's supervisor. More information about our collective interests and activities can be found at http://www.phpc.cam.ac.uk/ and http://www.inouyelab.org/ . The successful candidate will be involved in statistical analyses of multi-omic data, including genomic, proteomic, metabolomic, transcriptomic, and metagenomics data, as well as electronic health records. The aims of this research are (i) to identify causal variants and disease pathways which may inform drug target prioritisation, (ii) build polygenic models of diseases which maximise prediction in conjunction with known and novel risk factors, and (iii) develop and apply machine learning approaches which identify and characterise disease subtypes and their underlying causal risk factors. Beyond CBSGI, the selected candidate will collaborate closely with an interdisciplinary team of scientists, clinicians, bioinformaticians and statisticians at the DPHPC. The post-holder will also be expected to evaluate and develop the statistical and machine learning methods necessary to answer questions of interest, such as those listed above and advise on appropriate statistical practices. The work of the post-holder is expected to lead to first author high-impact publications. The post-holder will be educated to PhD level (or have equivalent qualifications or experience) in one of the following subjects: Systems Biology, Bioinformatics, Statistics, Biostatistics, Statistical Genetics, Computer Science, Mathematics or similar. Appointment at research associate is dependent on having a PhD (or equivalent experience is recognised), including those who have submitted but not received their PhD. Where a PhD has yet to be awarded or submitted appointment will initially be made at research assistant and amended to research associate when the PhD is awarded. If an individual has not submitted a PhD or is not working towards one they could be appointed as a Research Assistant if they have either a degree (degree and/or Master's) in a relevant area or equivalent experience. The post-holder will be based at the Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN. Depending on research priorities, there may be international travel to the CBSGI partner institution, the Baker Heart and Diabetes Institute in Melbourne, Australia. The funds for this position are available for 2 years from commencement in post. Informal enquiries can be made to Dr Michael Inouye ( mi336@medschl.cam.ac.uk ) To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form. Closing date: 24 August 2018 Interview Date: week commencing 27th August 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 that 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 RH16319 on your application and in any correspondence about this vacancy. The University values diversity and is committed to equality of opportunity. The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Further information Further Particulars Apply online Department/Location Department of Public Health and Primary Care Salary £25,728-£30,688 or £31,604-£38,833 Reference RH16319 Category Research Published 27 July 2018 Closing date 24 August 2018
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