24/06/2019
The Human Resources Strategy for Researchers

PhD Position in Bioinformatics : Identification of gene regulation mechanisms by integrative and massive analysis of sequencing data.

This job offer has expired


  • ORGANISATION/COMPANY
    TAGC INSERM U1090 AMU
  • RESEARCH FIELD
    Biological sciencesBiology
    Biological sciencesOther
    Computer scienceOther
    Computer scienceProgramming
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    31/08/2019 23:00 - Europe/Brussels
  • LOCATION
    France › Marseille Cedex 9
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    35
  • OFFER STARTING DATE
    01/12/2019

 

PhD position in Bioinformatics

 

Identification of gene regulation mechanisms by integrative and massive analysis of sequencing data.

 

Scholarship context

This PhD scholarship is part of an INSERM-Region scholarship obtained for the "ReMap-ALDH" project. This project is a collaborative effort between an academic partner (Dr. Benoît Ballester, TAGC INSERM U1090 Marseille, France) and a private partner (Advanced BioDesign, ABD, France).

The PhD will start in december 2019 and is funded for three years.

 

Scientific context

Aldehyde dehydrogenase (ALDH) activity is high in many types of cancer, and has been widely associated with poor prognosis, high tumorigenic potential and drug resistance. Our partner Advanced BioDesign has identified an ALDH inhibitor (aldehyde dehydrogenase) called DIMATE as a therapeutic candidate in the treatment of cancer. The multidisciplinary ReMap-ALDH project is at the crossroads between bioinformatics development, cancer biology and big data analyses. In this project we propose to carry out an exhaustive annotation of the regulatory elements of the human genome essential to the understanding of the regulation of ALDHs genes.

The ReMap-ALDH project is structured around two axes, an axis for very large-scale NGS bioinformatics analyses to create a regulatory landscape in human (ReMap project, See Refs.), and an axis on the fine identification of the regulatory mechanisms controlling ALDH genes involved in cancer.

The two axes are already under development, the two partners TAGC-ABD are already working on each of these axes. This project combines complementary bioinformatics approaches, bioinformatics analyses of big data NGS for the ReMap project, with fine bioinformatics analyses for regulatory mapping of the ALDH genes for the private partner ABD.

  • Axis 1: ReMap development: creation of the largest regulatory catalogue in human

  • Axis 2: Fine mapping and deep analyses of ALDH gene regulation elements

 

Axis 1: Development of ReMap: catalogue of regulatory regions in humans.

The candidate will manage the ReMap project, which involves: maintaining/updating/developing Python/SnakeMake pipelines for ChIP-seq data processing for ReMap, deployment of the pipeline on HPC clusters, updating the ReMap catalogue with the latest sequencing data in humans and/or other species. The candidate will be in charge of the ReMap data production, and downstream analyses.

 

Axis 2: Fine mapping of regulatory elements of ALDH genes and functional validation.

The objective is to create a very high definition mapping of the regulatory elements that play a role in the expression of ALDH genes. Through the identification of binding sites (TFBS, motifs), the identification of expression profiles (analyses of data Recount2, RNA-seq), and variants around ALDH genes we want to identify all the mechanisms for regulating ALDH genes.

 

This thesis project combines two bioinformatics approaches, one large scale to integrate NGS ChIP-seq data, and a second bioinformatics approach using results from the first axis on the detailed analysis of regulatory landscape (RNA-seq, TFBS, Variants etc...) in a specific biological context.

The objective is to identify transcriptional factors potentially involved in ALDHs gene regulation

And identify the co-expression network(s) of ALDH genes using public RNA-seq data (Recount2).

 

Required profile

The profile is 100% computational.

We are looking for a PhD candidate with a Master's degree in Bioinformatics or equivalent (eg: Computational Biology), with a solid experience in Python, and experience in handling very large NGS biological data sets (ChIP-seq, RNA-seq, etc.).

 

Mandatory experience

Strong programming experience in Python

Good experience in R

Strong experience in handling biological data NGS (ChIP-seq, RNA-seq, etc.)

Experience in creation of an analysis pipeline and production pipeline

 

Desired experience

Usage SnakeMake (workflow management tool)

Usage of cluster compute resources (type HPC)

Good communication skills

 

How to apply ?

You can apply in either French or in English.

If you are interested, please send before July 14, 2019 to benoit.ballester@inserm.fr :

- a detailed CV (with experiences, and full contact details: e-mail address, postal address, telephone number)

- a cover letter

- results of Master1, Master2, or equivalent

- letter(s) of recommendation

 

For more information, please do not hesitate to contact: Dr Benoit Ballester benoit.ballester@inserm.fr T: +33 4 91 82 87 28

 

References 

ReMap 2018: An updated regulatory regions atlas from an integrative analysis of DNA-binding ChIP-seq experiments.

Cheneby J., Gheorghe M., Artufel M., Mathelier A., Ballester, B. Nucleic Acids Research 2018

https://academic.oup.com/nar/article/46/D1/D267/4602873

 

Integrative analysis of public ChIP-seq experiments reveals a complex multi-cell regulatory landscape.

Griffon, A., Barbier, Q., Dalino, J., van Helden, J., Spicuglia, S., Ballester, B. Nucleic Acids Research 2015

https://academic.oup.com/nar/article/43/4/e27/2411018

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Biological sciences: Master Degree or equivalent
    Computer science: Master Degree or equivalent
  • REQUIRED LANGUAGES
    ENGLISH: Excellent
    FRENCH: Basic

Skills/Qualifications

 

Required profile  The profile is 100% computational / bioinformatics

We are looking for a PhD candidate with a Master's degree in Bioinformatics or equivalent (eg: Computational Biology), with a solid experience in Python, and experience in handling very large NGS biological data sets (ChIP-seq, RNA-seq, etc.).

Mandatory experience :

Strong programming experience in Python

Good experience in R

Strong experience in handling biological data NGS (ChIP-seq, RNA-seq, etc.)

Experience in creation of an analysis pipeline and production pipeline

Desired experience:

Usage SnakeMake (workflow management tool)

Usage of cluster compute resources (type HPC)

Good communication skills

Specific Requirements

 

You can apply in either French or in English.

If you are interested, please send before July 14, 2019 to benoit.ballester@inserm.fr :

- a detailed CV (with experiences, and full contact details: e-mail address, postal address, telephone number)

- a cover letter

- results of Master1, Master2, or equivalent

- letter(s) of recommendation

Work location(s)
1 position(s) available at
TAGC INSERM U1090 AMU
France
Marseille Cedex 9
13288
163 Avenue de Luminy

EURAXESS offer ID: 420453

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