bioinformatics and genome analysis, funded by the HFSP grant “The architecture of the post-synaptic density scaffold”

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

Laboratoire de Biologie du Développement de Villefranche/mer UMR7009 -CNRS – Sorbonne-Université - Faculté des Sciences et Ingé
Faculté des Sciences et Ingénierie IMEV - Observatoire océanologique 181 chemin du Lazaret
06230 Villefranche/mer

Richard Copley
Email du/des contacts

Position in bioinformatics and genome analysis, funded by
the HFSP grant “The architecture of the post-synaptic density

Location: Villefranche-sur-mer, France

Availability: The position is available immediately, for 1 year with
the possibility of extension.

Deadline: Please apply before 21st February 2020 to ensure full consideration.


The genome and protein evolution group (Copley) at the Laboratoire de
Biologie du Développement de Villefranche-sur-mer seeks a talented
bioinformatician with an interest in comparative genomics and
structural biology. We are participating in an HFSP project grant,
together with Andre Hoelz (Caltech), Adam Claridge-Chang (Duke-NUS,
Singapore) and Bob Robinson (Okayama, Japan), aiming to perform
structural studies on the proteins of the metazoan Post-Synaptic
Density (PSD) scaffold. The role of the lab in the project involves
development of sequence resources, including a genome sequence and
transcript libraries, from a thermal vent annelid worm. We will
identify key components of post-synaptic density within these
resources, and study their evolution, and likely protein-protein
interactions using bioinformatics tools. The work will be tightly
integrated with the other groups involved, who will be performing
experimental assays to determine likely interactions and structural
studies using a variety of approaches including Cryo-EM.


The appointed person will be responsible for the analysis of genome
and transcriptome sequence datasets, and the analysis of those data
for PSD components. More broadly, they will explore the utility of
different species for metazoan protein complexes of interest to
structural biology. They will liaise with other project partners to
integrate additional experimental information and provide data and
advice on target selection and other relevant information.


Experience with analysing large-scale sequence datasets
Experience with phylogenetic analysis of proteins
Good written and spoken English


PhD in a relevant discipline
Scripting ability in a language such as Python, Perl or R
Experience in structural bioinformatics

To apply:

Please contact Richard Copley ( for further
details, or apply directly through the CNRS portal:

Equipe adhérente personne morale SFBI
Equipe Non adhérente