Job ID: SW14881
Job date: 2018-04-27
End Date: 2018-05-24
Company : University of Cambridge Country : United Kingdom Role : Postdoc | Research Scientist
Job date: 2018-04-27
End Date: 2018-05-24
Company : University of Cambridge Country : United Kingdom Role : Postdoc | Research Scientist
Job Description:
Applications are invited for a postdoctoral research associate position to work with Professor Simon Tavaré FRS and other members of the Statistics and Computational Biology Laboratory at the Cancer Research UK Cambridge Institute. The position is part of an exciting integrative data analysis project funded by the CRUK Oesophageal International Cancer Genome Consortium Study led by Professor Rebecca Fitzgerald from the MRC Cancer Cell Unit and requires close working across the two groups. The aim of the project is to characterize both genomic and epigenomic alterations in Oesophageal Adenocarcinoma and understand their clinical relevance by exploiting whole genome sequencing, methylation and transcriptomic data from 500 tumour samples with appropriate controls. The sequence data is now close to maturity. We are looking for a bioinformatician with experience in transcriptomics data analysis and integration with other -omics datasets to answer translational questions relevant to diagnosis and therapy of Oesophageal Adenocarcinoma along with identifying features that can be predictive in precision medicine. There are opportunities to validate results and generate further data in support of these projects through the collaboration with the Fitzgerald lab. In addition to leading their own project the successful applicant will have the opportunity to collaborate with other projects involving molecular biologists and bioinformatics and statistics researchers in the area. Applicants must have: - PhD (or equivalent) in computational biology, statistics, bioinformatics or similar field - Experience with large-scale "-omic" data analysis - Experience in working in linux environment with strong programming and scripting skills and a commitment to reproducible analyses. - Evidence of independence and of the ability to develop novel statistical or bioinformatical methods is essential - Experience of cancer biology would be a strong advantage. Experience of integrating 'omics' datasets is desirable. Experience with R as a statistical programming environment is preferred. - The successful candidate will have excellent communication skills as well as the ability to work as part of a multi-disciplinary team of researchers.
Additional Info:
Location: Cambridge Salary: £31,604 to £38,833 Hours: Full Time Contract Type: Fixed-Term/Contract Placed on: 27th April 2018 Closes: 24th May 2018 Job Ref: SW14881 Contact Professor Simon Tavaré (simon.tavare@cruk.cam.ac.uk) and Professor Rebecca Fitzgerald (rcf29@hutchisonmrc.cam.ac.uk) for further information. Fixed-term: The funds for this post are available until 31 March 2021 in the first instance. Once an offer of employment has been accepted, the successful candidate will be required to undergo a security check. To apply online for this vacancy and to view further information about the role, please visit: http://www.jobs.cam.ac.uk/job/16723. 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. The closing date is 24th May 2018, with the interview date to be confirmed. 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. Please quote reference SW14881 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. [Click Here to Access the Original Job Post]
Applications are invited for a postdoctoral research associate position to work with Professor Simon Tavaré FRS and other members of the Statistics and Computational Biology Laboratory at the Cancer Research UK Cambridge Institute. The position is part of an exciting integrative data analysis project funded by the CRUK Oesophageal International Cancer Genome Consortium Study led by Professor Rebecca Fitzgerald from the MRC Cancer Cell Unit and requires close working across the two groups. The aim of the project is to characterize both genomic and epigenomic alterations in Oesophageal Adenocarcinoma and understand their clinical relevance by exploiting whole genome sequencing, methylation and transcriptomic data from 500 tumour samples with appropriate controls. The sequence data is now close to maturity. We are looking for a bioinformatician with experience in transcriptomics data analysis and integration with other -omics datasets to answer translational questions relevant to diagnosis and therapy of Oesophageal Adenocarcinoma along with identifying features that can be predictive in precision medicine. There are opportunities to validate results and generate further data in support of these projects through the collaboration with the Fitzgerald lab. In addition to leading their own project the successful applicant will have the opportunity to collaborate with other projects involving molecular biologists and bioinformatics and statistics researchers in the area. Applicants must have: - PhD (or equivalent) in computational biology, statistics, bioinformatics or similar field - Experience with large-scale "-omic" data analysis - Experience in working in linux environment with strong programming and scripting skills and a commitment to reproducible analyses. - Evidence of independence and of the ability to develop novel statistical or bioinformatical methods is essential - Experience of cancer biology would be a strong advantage. Experience of integrating 'omics' datasets is desirable. Experience with R as a statistical programming environment is preferred. - The successful candidate will have excellent communication skills as well as the ability to work as part of a multi-disciplinary team of researchers.
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Additional Info:
Location: Cambridge Salary: £31,604 to £38,833 Hours: Full Time Contract Type: Fixed-Term/Contract Placed on: 27th April 2018 Closes: 24th May 2018 Job Ref: SW14881 Contact Professor Simon Tavaré (simon.tavare@cruk.cam.ac.uk) and Professor Rebecca Fitzgerald (rcf29@hutchisonmrc.cam.ac.uk) for further information. Fixed-term: The funds for this post are available until 31 March 2021 in the first instance. Once an offer of employment has been accepted, the successful candidate will be required to undergo a security check. To apply online for this vacancy and to view further information about the role, please visit: http://www.jobs.cam.ac.uk/job/16723. 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. The closing date is 24th May 2018, with the interview date to be confirmed. 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. Please quote reference SW14881 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. [Click Here to Access the Original Job Post]