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
Mots-Clés
malaria single cell transcriptomics spatial transcriptomics host pathogen interaction
Description
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 arthur.talman@ird.fr
To apply, please send a cover letter and CV
Candidature
Procédure : Email avec lettre et CV
Date limite : 1 juillet 2021
Contacts
Arthur Talman
arNOSPAMthur.talman@ird.fr
Offre publiée le 9 juin 2021, affichage jusqu'au 1 juillet 2021