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Portal > Offres > Offre UMR7284-GIALIT-022 - Chercheur en génomique de la levure (H/F)

Researcher in Yeast Genomics (M/F)

This offer is available in the following languages:
- Français-- Anglais

Application Deadline : 29 October 2025 23:59:00 Paris time

Ensure that your candidate profile is correct before applying.

General information

Offer title : Researcher in Yeast Genomics (M/F) (H/F)
Reference : UMR7284-GIALIT-022
Number of position : 1
Workplace : NICE
Date of publication : 08 October 2025
Type of Contract : Researcher in "Contrat de projet"
Contract Period : 48 months
Expected date of employment : 1 December 2025
Proportion of work : Full Time
Remuneration : The gross monthly salary ranges from €3,021 to €4,647 (depending on previous professional experience).
Desired level of education : Doctorate
Experience required : Indifferent
Section(s) CN : 21 - Organisation, expression and evolution of genomes Bioinformatics and systems biology

Missions

The main mission will consist of studying and quantifying the effect of microbial interactions on the phenotype and fitness of Saccharomyces in a controlled environment. More specifically, the researcher will be responsible for quantifying the effects of inter-species interactions on the adaptive value and life cycle of yeasts, such as clonal growth, viability, sporulation, and sexual reproduction, among others. To this end, the candidate will be responsible for constructing and maintaining synthetic microbial consortia of various microbial partners. The design of long-term co-culture experiments will allow for the evaluation of reciprocal adaptation and evolutionary constraint.
A significant part of the work will focus on setting up and managing an innovative 'microbiome' platform. The researcher will be specifically responsible for developing experimental tools and protocols, including fluorescent reporters and genetic constructs, to monitor phenotypic variations in yeast in real time. The scientist will develop time-lapse microscopy, flow cytometry and cell sorting (FACS), and microfluidics to study microbial interactions at the population and single-cell levels.
Beyond the experimental dimension, the researcher will play a key role in training team members in the use of these technologies and in standardising the resulting protocols.
Beyond the experimental dimension, the researcher will play a key role in training team members in the use of these technologies and in standardising the resulting protocols, thereby contributing to the capitalisation of knowledge and the development of the team's skills. Active participation in laboratory meetings, data analysis and collaborative exchanges with external partners in microbial ecology will ensure the integration of complementary expertise.

Activities

The project is structured around four interdependent objectives.
1) Characterise the variability of microbial communities associated with Saccharomyces (SMIC) in different environments, and analyse their role in structuring intra- and inter-species genomic diversity;
2) Experimentally study intercellular interactions within SMICs, using microbial communities reconstituted under controlled conditions;
3) To assess the impact of intracellular interactions on yeast genomes, particularly gene flow between species and yeast-bacteria co-infection phenomena;
4) To identify genetic variants present in natural Saccharomyces populations that underlie and modulate these interactions with microbial communities.
The CDD will focus primarily on objectives 2 and 3, which involve (i) characterising microbial interactions in controlled laboratory environments, and (ii) establishing a microbial community to study higher-order interactions and long-term co-evolutionary dynamics. This requires advanced technical, conceptual and development responsibilities, such as the design of new tools and methodologies. A project-based contract (fixed-term contract) is therefore the most appropriate format to support this time-limited work: this position requires high-level expertise at the interface of yeast molecular ecology, quantitative phenotyping and microbial community experimentation. It also ensures continuity over several years for the stabilisation of cutting-edge experimental platforms that are essential to the SMIC.

Skills

The ideal candidate will have solid experience in yeast genetics, ecology, and quantitative phenotyping, ideally with prior experience studying how environmental and microbial interactions shape yeast phenotypes. The researcher must have experience in genetic engineering and the manipulation of yeast and bacteria to measure complex phenotypes of microbial communities. In addition, the candidate must have a solid background in flow cytometry and cell sorting (FACS), as well as knowledge of microfluidic technologies.
Beyond technical skills, the successful candidate will contribute to the scientific environment of the laboratory by training other researchers and co-leading the implementation of new platforms and experimental pipelines.

Results and controls

The recruited researcher will provide:
• Operational pipelines for SMIC phenotyping
• Standardised microscopy and cytometry workflows, including real-time imaging protocols
• Validated molecular tools to measure phenotypic responses of yeasts within microbial communities
• The establishment of a microfluidics platform to study bacterial interactions at the cellular level
• At least two publications as first author in international journals
• Shared protocols for wider use by the team
Progress will be monitored through internal presentations and interim project reports.
The CDD will directly support the installation and integration of key infrastructure (microbiome platform), including an epifluorescence microscope, a cytometer and a sorter (FACS), which are essential technologies for the project. The recruited scientist will play a key role in establishing these workflows and training other researchers, thus ensuring the long-term capacity of the laboratory.
The candidate's work should lead to high-impact publications and potential biotechnological applications, including patentable tools.

Work Context

The postdoctoral researcher will be assigned to Dr Gianni LITI's team, 'Population Genomics and Complex Traits'. This team is one of the founding teams of IRCAN and is located at the Faculty of Medicine in Nice. It has all the necessary equipment to conduct experiments in yeast genetics and genomics and has access to state-of-the-art microscopy, cytometry and genomics facilities, as well as computer and storage servers.

Constraints and risks

The system we work with (yeast) is known to be safe and non-pathogenic. Some of the chemicals used in the experiments are toxic and must be handled according to instructions. A safety briefing will be given before the experimental activities begin.