Postdoctoral Research Associate in Computational Biology

Updated: about 2 months ago
Location: Oxford, ENGLAND
Job Type: FullTime
Deadline: 26 Oct 2020

<p><strong>Postdoctoral Research Associate in Computational Biology (147752)</strong></p>
<p><strong>Grade 7: £32,817 - £40,322 per annum</strong></p>
<p>The lab of Dr Stephen Sansom (<a href=" ">"></a>) at the University of Oxford is looking for a highly motivated computational biologist. Our research is focused on identifying the cellular and molecular causes of immune mediated inflammatory disease (IMID) using systems-level approaches. We have an exciting oppourtunity for a talented scientist to join the group and lead a computational investigation of the cellular basis of rheumatoid arthritis, a common and long-term autoimmune disease that attacks the joints. This research will involve use of cutting-edge statistical and machine learning approaches to model single-cell genomics datasets from both animal models and patient cohorts. The goal of the project – which also involves experimental and spatial approaches - is to understand how different fibroblast subtypes contribute to the initiation and development of disease with a view to informing selective therapeutic intervention. The successful applicant will join a team of computational biologists, clinicians and experimental scientists that is led by Professor Chris Buckley, Professor Mark Coles, Dr Andrew Filer and Dr Stephen Sansom. They will also have the opportunity to participate in the Human Cell Atlas project.</p>
<p>You should have a successful track record in academic research that includes the statistical analysis and interpretation of complex genomic datasets, excellent problem-solving abilities and a strong interest in inflammatory disease research. A PhD/DPhil (or near completion) in a discipline of direct relevant to computational single cell genomics research is essential. In this role you will perform scientific research, reviewing and refining working hypotheses and developing and acquiring relevant skills as necessary. You will analyse and interpret data, preparing and publishing your findings in peer-reviewed journals. Experience with the analysis of single-cell RNA-sequencing data is highly desirable. The successful applicant will be based at the Kennedy Institute of Rheumatology within the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences.</p>
<p>Please read the accompanying job description carefully and ensure that you address each selection criteria in a supporting statement which must be uploaded together with your CV when applying online.<br> </p>
<p>For further information please contact Dr Stephen Sansom: <a href="stephen.sansom">">stephen.sansom</a></p>
<p>This is a fixed-term, full time position for 3 years.</p>
<p>Due to the nature of the research at the Kennedy Institute of Rheumatology, this job will require additional security pre-employment checks:</p>
<li>A satisfactory basic Disclosure and Barring Service check</li>
<p>The closing date for this position is <strong>12 noon on 26 October 2020</strong>. You will be required to upload a CV and supporting statement as part of your online application.</p>
<p>To apply for this role and for further details, including the job description and selection criteria, please click on the link below:</p>
<p><a href="


View or Apply

Similar Positions