Mots-Clés
epigenomics
cancer
clinical data
bioinformatics
Description
The International Agency for Research on Cancer (IARC) is a multi-disciplinary research institute based in Lyon, France. It is an independently funded institution, and a specialized cancer agency of the World Health Organisation. The particular focus of IARC is international collaborative research projects spanning a wide range of disciplines including cancer epidemiology, aetiology, genomics, carcinogenesis, early detection, prevention and implementation science.
The Epigenomics and Mechanisms (EGM) Branch conducts hypothesis-driven studies as well as data-driven mechanistic studies with a special emphasis aimed at advancing the understanding of cancer causation and the mechanisms of tumorigenesis and promoting international collaboration, the core activities of IARC. EGM’s ambition is also to place more emphasis on contributions to translational studies, through the discovery of mechanism-based biomarkers of exposure and risk stratification. EGM’s studies are interdisciplinary in nature, and the major EGM programmes promote and advance synergistic collaborations with other IARC laboratory-based scientists, data scientists, epidemiologists, and evidence synthesis experts, as well as with numerous international collaboration groups.
EGM conducts research involving state-of-the-art omics technologies applied in preclinical, clinical and/or epidemiological models. The successful candidate(s) will support leveraging (epi)genomics data and innovative statistical and computational methods to understand the molecular mechanisms associated with cancer and tobacco smoking (including waterpipe). The projects are supported by funding from the French National Cancer Institute (INCa).
The selected candidate will interact closely with Drs Akram GHANTOUS and François VIRARD, as well as with other scientists, laboratory technicians and bioinformaticians at EGM and IARC and with international research consortia. The MSc training will involve bioinformatics and statistical analyses, drafting of thesis reports/manuscripts based on data generated from the aforementioned resources. The candidate will be supported by a research team with interdisciplinary expertise encompassing fields such as bioinformatics, biostatistics, epidemiology and molecular biology.
Your profile:
The successful candidate would ideally have:
• An ongoing MSc degree in bioinformatics, biostatistics, epidemiology, molecular biology or related fields;
• Strong background in the analysis of biological, clinical and/or epidemiological data;
• Prior experience manipulating genomics, epigenomics, transcriptomics, multi-omics or related fields using statistical methods;
• Strong background in bioinformatics or biostatistics and scripting languages such as R or Python;
• Good experience in literature and database mining;
• Good communication skills, with the desire to interact with a group of international collaborators;
• Strong English language skills, both spoken and written;
• Willingness to learn new skills and techniques.
We offer:
The trainee will evolve in an innovative and scientifically stimulating environment and will have opportunities to interact and collaborate with colleagues from IARC, CRCL and their worldwide networks. The trainee will conduct research activities in a modern and scientifically invigorating environment. He/she shall be based full-time in Lyon and is expected to be in-person at the office the majority of time, whilst allowing for attractive flexible work arrangements to help promote a healthy work-life balance.
For more information about IARC/Early Career and Visiting Scientists at IARC, please consult IARC’s Welcome Pack and ECVS Frequently Asked Questions.
We value diversity:
IARC is committed to achieving gender parity and geographical diversity in its staff. Applications from people with disabilities, and nationals of low- and middle-income countries are particularly encouraged. IARC currently has more than 340 personnel members from almost 60 countries. Scientists and trainees
at IARC have access to a wide spectrum of scientific disciplines and to a unique network of collaborators across the world.