Research Associate – Bioinformatics Support-Cancer Genomics

Job ID: 5263
Job date: 2016-03-11
End Date:

Company : University of Cambridge 

Country :

Role : Research Scientist 


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Job Description:
Research Associate - Bioinformatics Support-Cancer Genomics University of Cambridge - Cancer Research UK Cambridge Institute Location: Cambridge Salary: £28,982 to £37,768 Hours: Full Time Contract Type: Contract / Temporary Placed on: 11th March 2016 Closes: 6th April 2016 Job Ref: SW08571 ★ View Employer Profile

We are seeking a bioinformatics programmer to join a large-scale whole genome sequencing study into the genetic causes of oesophageal cancer. The study is part of the International Cancer Genome Consortium and is led by Professor. Rebecca Fitzgerald from the MRC Cancer Cell Unit in close collaboration with Professor Simon Tavaré and his team at the CRUK Cambridge Institute.

The aim of the project is to understand the genetic architecture, history and clinical relevance of mutations in oesophageal adenocarcinomas through whole genome sequencing of 500 tumour samples, as well as samples from pre-invasive lesions and metastases. In addition, we are generating genome-wide data on methylation using arrays and transcription with RNA-seq.

The project presents many challenges requiring expert bioinformatics support including the efficient processing, analysis and storage of large datasets. This is an exciting opportunity to apply and develop your skills in the following areas:

Support the project Data Manager with development of analysis strategies and contribute to the design and implementation of analysis pipelines using best-of-breed bioinformatics software packages/tools where appropriate

Support cancer biologists with biological problems that require scripting with sequence-oriented software libraries, e.g. Samtools, Picard, GATK

Ensure data produced by analysis pipelines are made available to the team and scientific community via in-house and public repositories.

You will have a degree in a scientific or computational discipline and preferably a postgraduate degree (MSc) and/or relevant experience in Bioinformatics or Computational Biology. You should have excellent programming/scripting skills in e.g. Java, R, Perl or Python. Experience working with next generation sequencing data would be an advantage, especially the use of bioinformatics tools/packages for mutation detection. The role requires good communication skills and the ability to work well with colleagues in a multi-disciplinary team.

Fixed-term: The funds for this post are available for 3 years in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a basic disclosure (criminal records check) check, a health assessment and 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/9744. 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 contact Lawrence Bower (lawrence.bower@cruk.cam.ac.uk) for further information. Professor Rebecca Fitzgerald (rcf29@hutchison-mrc.can.ac.uk) would be happy to take queries about the role of this post within the overall project.

Please quote reference SW08571 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.



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Type / Role:

Academic or Research

Subject Area(s):

Health and Medical Medicine and Dentistry Biological Sciences Biology Other Biological Sciences Mathematics and Statistics Statistics Computer Science Computer Science Software Engineering

Location(s):

South East England

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