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<b><span style="color: black; font-family: "Arial",sans-serif; font-size: 14pt;">Research Associate/ Senior Research Associate in Bioinformatics</span></b></p>
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<span style="font-size: 12pt;"><a href="http://www.bristol.ac.uk/jobs"><span style="color: black; mso-style-textfill-fill-color: black; mso-style-textfill-fill-alpha: 100.0%;"><span style="color: black; mso-style-textfill-fill-color: black; mso-style-textfill-fill-alpha: 100.0%;"><font face="Times New Roman">www.bristol.ac.uk/jobs</font></span></span></a></span><span style="mso-spacerun: yes;"><font face="Calibri">
</font></span><span style="font-family: "Arial",sans-serif; font-size: 12pt;"><span style="mso-spacerun: yes;"> </span><span style="color: black;"><span style="mso-spacerun: yes;"> </span></span></span><span style="color: black; font-size: 12pt; mso-bidi-font-family: Arial;"><font face="Calibri">Job
reference: </font><a name="_Hlk528313902"><font face="Calibri">ACAD103</font></a><font face="Calibri">799</font></span><span style="color: black; font-family: "Arial",sans-serif; font-size: 12pt;">
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<b style="mso-bidi-font-weight: normal;"><span style="font-family: "Times New Roman",serif; font-size: 12pt;">Closing date: 12<sup>th</sup> March 2019.</span></b></p>
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<span style="color: black; font-family: "Arial",sans-serif; font-size: 12pt;">We are seeking to appoint a talented research associate / senior research associate with extensive experience in bioinformatics, machine learning or computational statistics and who
is interested in the application of these techniques within genomic medicine. Within this area an ongoing theme has been the development of integrative classifiers for predicting the functional impact of human genetic variation i.e. if variation is pathogenic
(a disease-driver) or neutral (see e.g. fathmm.biocompute.org.uk, cscape.biocompute.org.uk). We are very interested in using bioinformatics and machine learning methods to find disease subtypes via unsupervised learning, find variants acting as disease-drivers,
predict course of disease, predict response to treatment and find drug targets, for example. A further interest is the development of novel machine learning based methods which support this overall objective.<span style="mso-spacerun: yes;">
</span>The project is linked to a large MRC Stratified Medicine Initiative grant with the goal of using bioinformatics and machine learning to define more personalized treatment regimes. A major objective of the project will be to work with Prof. Moin Saleem
(University of Bristol) and his team to use these methods to identify disease-drivers responsible for nephrotic syndrome and chronic kidney disease and to further our understanding and ability to treat these diseases.<span style="mso-spacerun: yes;">
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<span style="color: black; font-family: "Arial",sans-serif; font-size: 12pt;">The successful candidate will be appointed at either Senior Research Associate (grade J) or Research Associate (grade I) depending on experience and prior publications. The post-holder
will have the opportunity to develop their own research portfolio within the programme and will be supported in their career progression. Candidates for the position should have strong mathematical and computational skills with experience in Python, R and
other programming languages, experience working with a range of bioinformatic data sources and having the capability to devise novel methods. The successful applicant will be based within the Intelligent Systems Laboratory of the University of Bristol and
will also work with Dr.Tom Gaunt (MRC IEU Bioinformatics Lead).</span></p>
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<b style="mso-bidi-font-weight: normal;"><span style="font-size: 12pt; mso-ascii-font-family: Calibri; mso-hansi-font-family: Calibri; mso-bidi-font-family: Calibri;"><font face="Calibri">Colin Campbell (contact details: https://seis.bristol.ac.uk/~enicgc/index.htm)</font></span></b></p>
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<b style="mso-bidi-font-weight: normal;"><span style="font-family: "Times New Roman",serif; font-size: 12pt;">Salary: £33,199-£37,345 (Grade I) or £37,345-£42,036 (Grade J)</span></b></p>
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<b style="mso-bidi-font-weight: normal;"><span style="font-family: "Times New Roman",serif; font-size: 12pt;">Contract type: open ended.</span></b></p>
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<span style="font-family: "Times New Roman",serif; font-size: 12pt;">The University is committed to creating and sustaining a fully inclusive culture. We welcome applicants from all backgrounds and communities.</span></p>
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