Job:Scientist (Computational Biology)
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23 months ago

The International Agency for Research on Cancer (IARC) offers unique opportunities to study the burden, causes and prevention of cancer worldwide. IARC specializes in the integration of laboratory and population-based sciences and in coordinating and conducting multi-center studies.

The Genetic Cancer Susceptibility Group (GCS) undertakes genetic and genomics research to identify cancer-related genes and explore their mechanisms of action. The purpose of this position is to work on the Rare Cancers Genomics project and assist the team in the analysis and interpretation of multiple omics data for the molecular characterization of rare cancers, in particular lung neuroendocrine neoplasms and malignant mesothelioma.

Job description

Under the supervision of two GCS scientists and in close interaction with pathologists, oncologists, surgeons and biologists also working on the Rare Cancers Genomics project, the incumbent to this new position is responsible for developing and implementing the necessary computational tools for the analyses of multi-omic data in the context of the MESOMICS and lungNENomics ongoing projects:

Scientist (Computational Biology)

The key duties of the incumbent are as follows: 1) Keep up to date with the literature to identify state-of-the-art bioinformatics and biostatistics tools for the analyses of genome, transcriptome, and epigenome data, as well as for the integration of these multi-omic data; 2) Implement standardized and reproducible bioinformatics pipelines based on the tools identified; 3) Develop innovative computational methodologies for the study of cancer heterogeneity and evolutionary processes using both multi-region and temporal multi-omics samples; 4) Organise results into clear presentations in formats useful for biological interpretation; 5) Contribute to the preparation and writing of scientific manuscripts and/or reports; 6) Participate and provide assistance to the team in the training of PhD students and postdoctoral fellows; 7) Contribute to the writing of grant applications with a view to attracting funding from competitive sources in relevant research areas.

Full details on this position and the link to submit online applications can be accessed via the requisition notice (REQ-1905895) published on the IARC Internet site at:

Profile/Requirements: * PhD in Computational Biology applied to Genetics. * At least one year of relevant experience in the field of bioinformatics and biostatistics applied to cancer genomics. * Relevant experience in the field of evolutionary genetics. * Experience participating in the writing of scientific manuscripts including a good publication record in the relevant research area. * Good knowledge of biostatistics and statistical genetics, in particular, multivariate statistics, dimension reduction techniques and machine learning.

Additional Information: Only applications submitted via our online recruitment tool accessible from the requisition notice published on our Internet site will be considered. It is mandatory to attach a full list of publications. To add this list, please go to your profile under the “publication” tab.

Deadline for submitting applications: 21 January 2020

Only candidates under serious consideration will be contacted for assessment and interview.

Remuneration: IARC salaries for staff in the Professional category are calculated in US dollars. The fixed remuneration for the above position comprises an annual net salary plus a post adjustment which reflects the cost of living in a particular duty station. Total fixed remuneration for this position currently amounts to USD 51225 (i.e. approximately EUR 46500) per annum which is the sum of: 1) annual net salary of USD 37012 at Level P1 of the UN professional salary scale, plus 2) post adjustment for Lyon, France currently amounting to an annualized figure of USD 14213. The fixed remuneration is expressed net of income tax but before deduction of the employee share of contributions for mandatory participation in the United Nations Joint Staff Pension Fund and in the Organization’s private insurance plans covering health, accident, illness and disability. Other benefits include 30 days of annual leave and allowances for dependent family members. Subject to certain conditions, internationally recruited staff may also be entitled to relocation travel & shipment, settling-in grant upon appointment, home leave and/or education grant for dependent children. Employment status is that of international civil servant.

cancer genomics computational biology next-gen R Job • 826 views

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