Job ID: RC11698
Job date: 2017-05-16
End Date:
Company : University of Cambridge Country : Role : Other
Job date: 2017-05-16
End Date:
Company : University of Cambridge Country : Role : Other
Job Description:
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 have the opportunity to undertake their own bioinformatic research projects in autoimmune disease genomics as well working collaboratively to provide analytical support for the group. 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. Organisational skills and the ability to work as part of a team, as well as independently, are also essential.
Additional Info:
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: 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. Further information can be found on the lab webpage ( www.med.cam.ac.uk/smith ) and informal enquiries can be made to hodmed@medschl.cam.ac.uk. Applicants should send a full CV and covering letter, which should summarise their scientific interests and suitability for the role. Fixed-term: The funds for this post are available for 3 years in the first instance. To apply online for this vacancy and to view further information about the role, please visit: www.jobs.cam.ac.uk/job/13183. 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. 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. Please include details of your referees, including email address and phone number, one of which must be your most recent line manager. The closing date for applications is the 12th of June 2017 with interviews yet to be confirmed by the department. Please quote reference RC11698 on your application and in any correspondence about this vacancy.
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 have the opportunity to undertake their own bioinformatic research projects in autoimmune disease genomics as well working collaboratively to provide analytical support for the group. 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. Organisational skills and the ability to work as part of a team, as well as independently, are also essential.
Skills :
Areas :
Additional Info:
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: 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. Further information can be found on the lab webpage ( www.med.cam.ac.uk/smith ) and informal enquiries can be made to hodmed@medschl.cam.ac.uk. Applicants should send a full CV and covering letter, which should summarise their scientific interests and suitability for the role. Fixed-term: The funds for this post are available for 3 years in the first instance. To apply online for this vacancy and to view further information about the role, please visit: www.jobs.cam.ac.uk/job/13183. 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. 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. Please include details of your referees, including email address and phone number, one of which must be your most recent line manager. The closing date for applications is the 12th of June 2017 with interviews yet to be confirmed by the department. Please quote reference RC11698 on your application and in any correspondence about this vacancy.
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