Senior Research Assistant (Bioinformatics Data Management), Lyons, France
Senior Research Assistant (Bioinformatics Data Management), Lyons, France

Job description

Organization:WHO - World Health Organization
Category:Research & Development
Grade: G-5
Duration: 2 Years with possibility of extension
Deadline: 15 January 2017


Two complementary strategies are currently adopted by the Infections and Cancer Biology Group (ICB) to study
the role of infections in human cancers

(i) Functional studies to characterize the biological properties of specific infectious agents using in vitro and in vivo
model systems

(ii) Development of laboratory assays that are being extensively used in epidemiological studies to evaluate the
contribution of infections in cancer.

With regard to the functional studies, ICB′s research is focused on the characterization of the biological properties
of oncoproteins from several human viruses, i.e. mucosal and cutaneous human papillomavirus (HPV) types,
Merkel cell polyomavirus (MCPyV), and Epstein-Barr virus (EBV). In particular, ICB has evaluated the ability of
viral oncoproteins to deregulate pathways involved in cellular transformation and immune response.

With regard to the second strategy, ICB′s efforts are focused on the development of highly sensitive diagnostic
assays for many infectious agents that can be used for large-scale epidemiological studies.

Duties and Responsibilities

1. Provide bioinformatic support to the ICB Group by

writing/adapting scripts/packages for the manipulation of the data generated by the Group's laboratory activities
(including but not limited to OMICS data, transcriptomics, exome/whole genome/transcriptome sequencing, de
novo sequencing data);

assisting scientists in the analysis and publication of such data (including submission to central repositories) which
is aimed to characterize the genome of infectious agents.

2. Assist scientists in data analysis by

carrying out statistical analysis;

formating and presenting data in a user-friendly style for inclusion in scientific documents.

3. As part of the Agency's central bioinformatics resources:

ensure that newly deployed methodologies in ICB are available across IARC and to the wider scientific
community, as appropriate;

share expertise with bioinformaticians in other IARC groups by participating in working groups, seminars and
training organized internally.

4. Interact with other groups at IARC, in particular ITS and GCS, to ensure that the high performance computing
and information technology resources developed at IARC meet ICB Group needs; this includes membership in the
BISC (Bioinformatics Steering Committee);

5. Keep abreast of technological developments in bioinformatic resources and tools relevant to the projects
conducted in the Section. Produce regular activity report and present those during group and section meetings;

6. Other related technical duties as requested by the supervisor.


Graduation from secondary school or equivalent, and subsequent training (BTS, DUT or equivalent) in the field of specialization with possession of a diploma in bioinformatics, computer science, or related field.

Desirable: Masters degree in biostatistics, bioinformatics, biomathematics or equivalent. Training in biology.

Work Experiance

Essential: at least 5 years' professional experience (beyond the essential educational requirements) including one year using scripting languages and R programming, preferably in a research environment and one year handling sequence-based genomic data.

Desirable: experience with bioinformatics tools for primary data processing and secondary data analyses (i.e.
annotations, visualization).

Knowledge of R for statistical analysis and data visualization is required. Knowledge of other statistical packages
(Stata, SAS) would be an advantage.

Knowledge of one or more scripting or programming languages (e.g. Perl, Python, Ruby, C++ or Java etc.),
preferably in a Unix environment is required.

Skills in Microsoft Office software (Excel, Word, Powerpoint) are mandatory.

Good general understanding of molecular and cell biology is required.

Experience in manipulating massively-parallel sequencing datasets would be an advantage.

Experience in using a High Performance Computing cluster job scheduler (e.g. LSF, SGE, Torque, SLURM etc.)
would be an advantage.

Ability to clearly communicate results to a variety of audiences both orally and in writing.

Ability to work autonomously and to prioritize work in a demanding work environment.

Ability to create clear, concise figures for publications and slides.

Ability to work harmoniously as a member of a team with people of diverse educational and cultural backgrounds.



Expert knowledge of English or French with an intermediate knowledge of the other language;

knowledge of another WHO official language (Chinese, Russian, Spanish, Arabic) would be an asset.

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