An ambitious EC-funded research initiative on epigenetics advancing towards systems biology

Institute of Human Genetics, Montpellier, France

Description

We are looking for a motivated and productive engineer with bioinformatics and biostatistics skills. Our group studies meiotic recombination, a phenomenon allowing for transmission and variation of genetic information between generations in sexually reproducing species, and its implication on genome evolution.
The project aims to describe and better understand genomic determinants of meiotic recombination events by analyzing high-throughput sequencing (HTS) data that we are establishing in mouse spermatocytes, which includes:
histone modifications profiles produced using Chromatin Immuno-Precipitation followed by HTS (ChIP-seq)
ChIP-seq experiments targeting chromatin-associated proteins which are involved in meiotic recombination
gene expression, interrogated by RNA-seq
as well as by investigating DNA motif distributions in sites of interest, called recombination hotspots, in the mouse genome.

Missions:
The successful candidate will manage, analyze and help to interpret specific genomic data, with technical tasks ranging from basic file conversions, quality controls and alignments, to advanced statistics, cross-correlation and sequence analyses, and with communication tasks based on analysis reports and lab meeting presentations.
He (or she) will interact strongly with experimental biologist in the lab and with our international collaborators. She (or he) will also participate in monthly meetings organized by other bioinformaticists and biostatisticians working in the institute.

Qualifications

Candidates should hold a master degree or equivalent in Statistics, Biostatistics, Population Genetics or a closely related discipline, and are expected to demonstrate good programming and statistical skills as well as strong interest for biological questions.
Ideal candidates would have also knowledge in molecular biology and genetics, and previous experience with genomic data analyses.
However, training in biology or experimental issues will be provided as needed, and the laboratory can offer opportunities to apply for advanced training courses in genomic data analysis.
Written and spoken communication in English is necessary.

Salary

Conditions:
The position is initially available for one year with a salary following CNRS guidelines. Starting data: ASAP.

Application details

To apply for this position, please send a CV, a cover letter and contact of two referees to:
Bernard de Massy - This e-mail address is being protected from spambots. You need JavaScript enabled to view it