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Research Associate (Bioinformatics)


A position is available for a postdoctoral bioinformatician to work in the research group of Professor Tony Kouzarides. The position is funded by Cancer Research UK. The work involves the study of chromatin and RNA modification pathways and the ways in which they impact on transcriptional regulation and in cancer.

The successful applicant must be educated to a PhD level (Bioinformatics, Biology and Computational Biology or equivalent). S/he will be expected to process, manage and analyse large next generation sequencing data sets, so experience with genomic and transcriptomic data sets is essential (e.g. ChIP seq, RNA seq, CLIP seq, Bisulfite seq, ChIRP seq). In particular, experience with analysis of long non-coding RNA and miRNA datasets, both Illumina and non-Illumina technologies (e.g. Oxford Nanopore), and a working knowledge of evolutionary genomics would be an advantage. Excellent programming and data analysis skills are essential, and applicants should have extensive experience working in R or similar. Experience with management of big data, job scheduling on a high performance cluster, web based approaches to data dissemination and integration of complex datasets would be preferred.

Limited funding: The funds for this post are available until 31 August 2019 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.

If you have any questions about this vacancy or the application process, please contact Nikki Mann by email n.mann@gurdon.cam.ac.uk. Please quote reference PR11683 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. Benefits include generous maternity/paternity leave, flexible working and funds for returning carers and other family-friendly schemes.

Further information

Apply online