A full-time Senior Research Associate position in Statistical Bioinformatics is available at University College London (UCL) with immediate effect within the
group headed by Professor Martin Widschwendter.
The mission of the post holder will be to facilitate and assist research activity within the EC Horizon 2020 FORECEE programme. This major research programme brings together 14 European partners with the aim to develop a ground-breaking screening process to help predict and prevent the four main women-specific cancers (ovarian, breast, endometrial and cervical), Further details on the FORECEE project and the Eve Appeal can be found at the following link: https://www.eveappeal.org.uk/about/research/forecee/
The appointee will be supervised jointly by Professor Martin Widschwendter and Dr Andrew Teschendorff and be central to the processing, management and bioinformatics analysis of the large omic data sets generated as part of the project.
The research aims to make individualised risk predictions for women specific cancers available, by looking for DNA methylation risk markers in a number of easily accessible tissues from the same women, including cervical cells, blood and buccal tissue. By measuring the epigenome in these different tissues, the project will endeavour to capture the systemic effects of environmental and life-style factors, which increase or decrease the risk of developing one of the four cancers: breast, cervical, ovarian and womb. These cancers alone represent 47% of all cancers in women, and among them are cancers with a 5-year survival rate of only 40%.
The project will also build and extend upon the group’s previous work, which achieved breakthroughs in our understanding of cancer epigenomics (Widschwendter et al Nat Genet. 2007), and how cancer risk factors (such as age, hormones, HPV infection, smoking and BRCA1 mutation) shape the epigenome (Widschwendter et al Cancer Res. 2004, Teschendorff et al Genome Res. 2010, Teschendorff et al Genome Med. 2012, Widschwendter et al Lancet Oncol. 2013, Anjum et al Genome Med. 2014 and Teschendorff et al JAMA Oncol. 2015, Nat.Comm.2016). The FORECEE project aims to develop novel multi-tissue epigenetic risk prediction models for all four women specific cancers.
Full details about the job and link to the job application site can be found here (enter reference number: 1627036)
http://www.ucl.ac.uk/hr/jobs/index.php
Closing date: 4th March 2017
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|