法国WHO国际癌症研究署(IARC)2022年招聘博士后(基因组流行病学)
Postdoctoral Opportunity - GENOMIC EPIDEMIOLOGY BRANCH
International Agency for Research on Cancer (IARC), WHO
Postdoctoral Opportunity
GENOMIC EPIDEMIOLOGY BRANCH
The Genomic Epidemiology Branch (GEM) investigates lifestyle and genetic factors involved in cancer in diverse populations, with the aim of contributing to primary prevention of cancer, by conducting large multidisciplinary projects that involve collaboration with leading international academic, research and clinical centres.
A postdoctoral opportunity in Computational biology is immediately available within the branch to contribute to the PROMINENT project – “Discovering the molecular signatures of cancer PROMotion to Inform prevention” – funded by the Cancer Grand Challenge initiative (CRUK and NCI/NIH) and led by Dr Paul Brennan (head of GEM at IARC), Dr Allan Balmain (UCSF, US) and Dr Nuria Lopez Bigas (IRB, Spain). PROMINENT is a collaborative international study that will combine a large-scale biorepository including biological samples and extensive epidemiological and exposure data from cancer patients with state-of-the-art genomic technologies (e.g. RNA sequencing, duplex DNA sequencing, single cell multi-omics and spatial proteomics) to explore the role of known and novel risk factors in the promotion of tumour development, and elucidate the precise mechanisms by which these promoting factors stimulate the conversion of normal cells to neoplastic growth. The successful candidate will be supervised by Dr Paul Brennan and relevant Scientists in the Branch. He/she will conduct integrative analyses focusing on joint interpretation of omics data generated by the project and epidemiological information together with a multidisciplinary team of collaborators.
Essential selection criteria:
· A recent PhD in related fields such as: genomic epidemiology, biological data, bioinformatics, biostatistics and genetics.
·Strong background in the analysis of biological data, bioinformatics, and biostatistics.
·Strong communication skills, with the ability to undertake activities with collaborators but also independently.
·Strong English language skills both spoken and written.
·Willingness to learn new skills and techniques.
·Bring new ideas and be enthusiastic about cancer genomic epidemiology research.
·Prior experience manipulating multi-omics, epidemiological and clinical data using statistical methods.
·Strong background within statistical or scripting languages such a R or Python.
The postdoctoral opportunity is initially for one year with the expectation of renewal and is for candidates who have completed a Ph.D. or equivalent level. The IARC stipend is currently
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