Research Assistant / Research Associate (Fixed Term)

University of Cambridge - Cancer Research UK Cambridge Institute

The Caldas Lab is focused on understanding heterogeneity in breast cancer. We have redefined this disease as a constellation of 10 genomic driver-based subtypes, and this new molecular taxonomy of breast cancer is being translated into the clinic in stratification, tumour monitoring and therapy studies. In parallel we are developing pre clinical models to characterize the biology of these subtypes.

We are looking for a postdoctoral scientist with a PhD in Bioinformatics, Statistics or Computational Biology with experience in Next Generation Sequencing data analysis, in particular RNA-seq data. The successful candidate will work on different genomic projects that involve analysis and integration of different molecular data types to study heterogeneity in breast cancer. Experience with analysis of data from different high-throughput experiments, such as DNA-seq data (mutation calling, copy number analysis), RNA-seq (isoform quantification and splicing detection), or ChIP-seq (peak calling, differential binding) will be valued.  R/Bioconductor proficiency is required.

We are a Breast Cancer Functional Genomics multidisciplinary team formed by molecular biologists, computational biologists and clinical fellows, therefore a cooperative approach to working is needed for this position, as well as an ability to communicate and interact with colleagues with other backgrounds.

Successful candidates at Research Associate level who have not been awarded their PhD by the appointment date will be under-appointed as a Research Assistant (Grade 5). Upon award of the PhD the individual will be promoted to Research Associate (Grade 7).

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 and a security check.

To apply online for this vacancy and to view further information about the role, please visit: 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.

The closing date for applications is Wednesday 21st December 2016.

Interviews are likely to be held on the week commencing Monday 9th January 2017.

Please quote reference SW10823 on your application and in any correspondence about this vacancy.

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