Visit All-Acad.com with more than 100,000 Jobs for Academics!
                    
Position: Bioinformatician: Analyst
Institution: University of Cambridge
Location: Cambridge, Cambridgeshire, United Kingdom
Duties: We have an exciting opportunity for a Bioinformatician to join the research group in the Department of Medicine within the University of Cambridge. Working within a Linux environment, they will apply this knowledge to data generated within the Smith research group (e.g. GWAS, RNA-Seq and clinical information), to characterise the molecular changes underlying autoimmune and inflammatory disease susceptibility and prognosis. This opportunity requires scripting ability (at least one of Perl, Python or Bash), familiarity with short read sequence data quality control and analysis, and relevant statistical understanding, preferably within the R environment
Requirements: The role holder will have experience of using computational approaches to analyse diverse genomic datasets
   
Text: Bioinformatician: Analyst (Fixed Term) We have an exciting opportunity for a full-time Bioinformatician to join the research group of Professor Ken Smith in the Department of Medicine within the University of Cambridge. Working within a world class and multi-disciplined research team the successful applicant will undertake their own bioinformatic research projects in autoimmune disease genomics as well working collaboratively to provide analytical support for the group. The Smith Laboratory is focused on understanding autoimmune and inflammatory disease and applying this knowledge to the clinical setting. We do this through the study of fundamental immunological mechanisms, enhanced by our exploitation of genetic and genomic data from well-characterised patient cohorts. This combined approach using human and animal data and state-of-the-art bioinformatic methodology, allows us to explore immunological mechanisms of relevance to human disease, and to translate our results into applications of direct benefit to patients. Example publications: Lee et al Nat Genet 49:262-268, 2017; Peters et al PLoS Genet 12:e1005908, 2016; McKinney et al Nature 30: 612-616, 2015: Lee et al Cell 155:57-69,2013; Lyons et al New Engl J Med 367:214-223,2012. The role holder will have experience of using computational approaches to analyse diverse genomic datasets. Working within a Linux environment, they will apply this knowledge to data generated within the Smith research group (e.g. GWAS, RNA-Seq and clinical information), to characterise the molecular changes underlying autoimmune and inflammatory disease susceptibility and prognosis. This opportunity requires scripting ability (at least one of Perl, Python or Bash), familiarity with short read sequence data quality control and analysis, and relevant statistical understanding, preferably within the R environment. Additional duties will include providing ad hoc bioinformatics support and advice for researchers within the research group, as well as collaborative work with other groups in Medicine, the MRC Biostatistics Unit and others. Excellent organisational skills and the ability to work as part of a team, as well as independently, are also essential. Further information can be found on the lab webpage ( http://www.med.cam.ac.uk/smith/ ) and informal enquiries can be made to hodmed@medschl.cam.ac.uk . Fixed-term: The funds for this post are available until 30 April 2020 in the first instance. 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. 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 which have not been requested, we will not be able to consider these as part of your application. Please include details of your referees, including email address and phone number, one of which must be your most recent line manager. Closing Date: 3rd September 2018 Interview Date: To be confirmed Please quote reference RC16388 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 Medicine Salary £29,799-£38,833 Reference RC16388 Category Academic-related Published 6 August 2018 Closing date 3 September 2018
Please click here, if the Job didn't load correctly.







Please wait. You are being redirected to the Job in 3 seconds.