法国里昂第一大学与病毒组联盟招聘博士后—全球范围病毒组生物地理学

法国里昂第一大学与病毒组联盟招聘博士后—全球范围病毒组生物地理学

2 years Postdoctoral fellowship – Virome biogeography at global scale

Consortium Virome@tlas

Date Posted: Posted on 15 September      2025

Location: France

Job Tags:big data, bioinformatics, environmental metagenomics, geomatics, virology

Job Missions

Context:

University of Lyon 1, in collaboration with 11 partners, is coordinating the SHAPE-Med@Lyon project (www.shape-med-lyon.fr). The Virome@tlas project – was recently granted a prize by the SHAPEMed@Lyon consortium as part of the call for structuring projects 2023 – develops a digital platform dedicated to virosphere monitoring. This collaborative project is led by the PRABI-AMSB platform (UCBL1, FR BioEEnvis – http://amsb.prabi.fr), the Environnement Ville et Société laboratory (Lyon2 – https://umr5600.cnrs.fr), the Centre International de Recherche en Infectiologie (HCL, GENEPII platform – https://teamhcl.chu-lyon.fr/genepii) and the Infections Virales et Pathologies Comparées laboratory (INRAE – https://ipvc.lyon-grenoble.hub.inrae.fr) in partnership with the Biométrie et Biologie Evolutive laboratory and the Institut Français de Bioinformatique (NNCR cloud). The Virome@tlas project is recruiting a postdoctoral fellow to work on the biogeographical exploration and monitoring of the virosphere at global scales. This work will be carried out within an interdisciplinary “One Health” framework involving scientists with strong expertise in the fields of bioinformatics, metagenomics, molecular evolution, virology, geography, hydrology and geomatics.

Main missions:

The primary mission of the postdoctoral fellow is to build a comprehensive framework for exploring the interactions between viruses, hosts, and the environment at a global scale. This analysis will be inferred from the large amount of data deposited in the Peta-bytes archives and will be used as a framework to improve our understanding of the viral transmission between human, animal and their diffusion in the environment. This open platform will be valuable for the scientific community to easily identify host organisms (animal, human) or environmental biosamples (freshwater, soil, wastewater) harboring new virome signatures. This comprehensive and up-scaled systems-level approach will improve our preparedness and surveillance systems to help prevent the potential next epidemic by identifying global biogeographical rules and patterns involved in the virosphere evolution and adaptation, particularly in the context of global environmental change and climate warming.

Main activities:

Most viruses responsible for human infectious diseases appear to be zoonotic (Wolfe et al., 2007; Woolhouse et al., 2012). The main activity of the recruited Post Doctoral fellow will be to explore at larges scales (e.g. biomes, ecosystem, watershed,  virus/host taxonomy …) the complex molecular, ecological and biogeographical factors responsible for future zoonotic spillover (Olival et al., 2017) – i.e. the transmission of animal viruses to human individuals – or their spillback – i.e. the transmission of human viruses to animals or in the environment. It strongly relies on the building of a comprehensive catalogue, or atlas of virus/host associations, occurring in human and animal populations, as well as an in-depth annotation of their geospatial and temporal distribution. To do so, the candidate will benefit from the technical support and expertise of two highly qualified research engineers in bioinformatics and geomatics with the aim of integrating and annotating the quality of biogeographic and sequencing data and metadata stored within the virome@tlas datalake. A large fraction of the virus’s host range spectrum remains understudied, thus neglecting an integrated and interconnected vision of global health. As a result, only a limited number of virus/host associations are described in public databases, and the majority of them are biased toward human viruses and or viruses causing diseases. In addition, the influence of biophysical environment and their contemporary changes (e.g., deforestation, urbanization, increasing aridity) on these virus-host associations remains unknown. To tackle this problem, the postdoctoral fellow will develop new computational methods using network theory and/or state of the art data science approaches (text mining, machine learning, AI) to comprehensively highlight yet undiscovered virus/host/environment relationships and annotate potentially putative new spillover/spillback events from the mining of millions of SRA biosamples and their associated billion of SRA-STAT taxonomic assignments already stored in our Virome@tlas data-lake. The candidates will also promote the development of new use cases in collaboration with the Virome@tlas consortium, ShapeMed@Lyon and the FR BioEEnviS partners to promote One Health and global-scale approaches.

Job profile

Expected skills:

Python programming (Dash, FLASK, geospatial python package),      linux, relational databases/NOSQL

Multivariate analysis (PCA, PLS, UMAP, tSNE, DBSCAN) and      exploratory spatial data analysis

Network and data sciences

Nucleic sequence homology search, taxonomic assignment

Viral metagenomics: de novo assembly, annotation of viral      genomes

Molecular phylogenies

Machine learningKnowledges:

Virology

Environmental metagenomics

Biogeography

Geomatics

BioinformaticsKnow how:

Responsive to OneHealth concept

Ability to work in project mode with a multidisciplinary team      of engineers and researchers

Responsiveness, autonomy, initiative, rigor.

Organizational skills.

Team spirit and sense of collaboration.

Ability to work as part of team, using modern digital tools.

Job locationLaboratory:

City: Lyon, France

Laboratory/Service: Pôle Auvergne-Rhône-Alpes de Bioinformatique- Analyse et Modélisation des Systèmes Biologiques (PRABI-AMSB) / FR BioEEnviS

Other:

Diploma required: PhD in systems molecular ecology or bioinformatics or environmental virology or biogeography/geomatics

Software/Programming: NoteBook Jupyter, R, IDE visual studio code, linux

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