Research assistant and lecturer in computational biology

Type de poste
Niveau d'étude minimal
Durée du poste
Contrat renouvelable
Contrat renouvelable
Date de prise de fonction
Date de fin de validité de l'annonce

UMR7196 MNHN-CNRS, U1154 INSERM - Muséum National d'Histoire Naturelle
43, rue Cuvier
75231 Paris 05

Christophe Escudé
Email du/des contacts

Dear colleagues,

A position of Research assistant and lecturer in computational biology is now opened at the Muséum National d'Histoire Naturelle in Paris for one to two years. The hired candidate will be expected to participate to the research projects of the ADN Répété, Chromatine & Evolution (ARChE) team and to contribute to teaching at the MNHN (Bioinformatics and statistics, about 80 to 100 hours/year).

The ARChE team focuses its work on repeated DNA sequences, which represent a major component of enkaryotic genomes. Its interests regard both the evolution of repeated DNA sequences as well as the role played by those sequences and the associated chromatin on genome organization, expression and stability.

We have recently developed original approaches based on targeted high throughput sequencing for studying the evolution of alpha satellite DNA in a group of Old World monkeys called cercopithecini. Specific tools have been implemented for describing the diversity of those sequences, for uncovering their structural organization, and for comparing sequence families between species. Sequencing of long single DNA molecules is currently performed in order to complement these data. The final aim of this work is to provide new insights into satellite DNA evolution but also to integrate satellite DNA into comparative genomic studies.

We also aim at understanding how the epigenetic marks associated to different types of repeated DNA impact genome organization and expression. For this, we need to develop new tools for the detection and quantitative analysis of repeated DNA sequences in the output of various high throughput sequencing experiments (ChIP-seq, Cut&Run, HiC, etc) that are performed in different cellular models (human, mouse, monkey).

The candidate who will join the team will have the opportunity to analyze some of the already available datasets and to develop new computational methods. Candidates bringing their own project are encouraged to apply. Applications should be sent before the end of july.

For more details and all questions, please contact :

The lab website:
The official job offer (in french) :

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