Bioinformatic scientist - Advanced transcriptomic study of host/malaria parasite interactions

 CDD · Postdoc  · 18 mois (renouvelable)    Bac+5 / Master   MIVEGEC, Universite de Montpellier · Montpellier (France)  2200 euros net

 Date de prise de poste : 1 septembre 2021


malaria single cell transcriptomics spatial transcriptomics host pathogen interaction


Postdoctoral position- Advanced transcriptomic study of host/malaria parasite interactions

Closing Date - 1 July 2021

Start Date- 1 September 2021

Contract Length- 18 months, renewable

Employer- University of Montpelier, MIVEGEC

About the team -  Our team studies malaria parasites using a range of advanced transcriptomics and deploys them in a variety of settings including the lab and parasites directly collected in naturally infected carriers in Cameroon and Benin. We are especially interested in understanding the parasites' response to different environments to enhance transmission and the host pathogen interactions underlying pathology of non-severe and severe malaria. The team consists of research technicians, postdocs and PhD students and we are actively collaborating with colleagues in endemic countries. As part of these efforts we have generated dual parasites and host single cell transcriptomic data as well as spatial transcriptomics datasets which we will analyse in tandem. We are a multidisciplinary and diverse team within a prolific and exciting institute which includes state of the art facilities including a high-performance computing cluster. We seek to recruit a postdoctoral fellow interested in studying host pathogen interactions using both parasite and human transcriptomic data. The post holder will set-up analysis pipelines, lead and implement data analysis. The post holder will be creative, curious, and ambitious and tackle challenging biological data analysis problems and lead analysis aspects of the projects.

Essential skills

● A degree or further degree related to biology/computer science ideally at PhD level or equivalent experience ● Excellent Programming skills in R or python

● A proven track record demonstrating strong analytical skills

● Experience with NGS data, preferably transcriptomics data

Desirable skills

● Experience in preparing manuscripts for publication

● Experience of statistical analysis of large datasets

● Ability to work collaboratively with a range of collaborators at all levels

● Effective communication skills within the team and with collaborators

● Efficient time management

● Proficiency in English

Informal enquiries can be addressed to

To apply, please send a cover letter and CV


Procédure : Email avec lettre et CV

Date limite : 1 juillet 2021


Arthur Talman

Offre publiée le 9 juin 2021, affichage jusqu'au 1 juillet 2021