Research Scientist in integrative genomic prediction of complex phenotypes for poplar selection purposes

45160 ARDON

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INRAE presentation

The French National Research Institute for Agriculture, Food, and the Environment (INRAE) is a public research establishment under the dual authority of the Ministry of Agriculture and the Ministry of Research.

INRAE is recruiting researchers by open competition and offering permanent position.

It is a major player in research and innovation created on 1st of January 2020. INRAE is a research institute resulting from the merger of INRA and IRSTEA. It is a community of 12,000 people with more than 200 research units and 42 experimental units located throughout France.

The institute is among the world leaders in agricultural and food sciences, in plant and animal sciences, and is 11th in the world in ecology and environment. INRAE’s main goal is to be a key player in the transitions necessary to address major global challenges. In the face of the increase in population, climate change, scarcity of resources and decline in biodiversity, the institute develops solutions for multiperformance agriculture, high quality food and sustainable management of resources and ecosystems.

Work environment, missions and activities

The UMR BIOFORA scientific project aims at promoting the value of forest genetic resources for the sustainable production of timber and biomass in a changing environment. As a model species for the unit, poplar is the support for research on the genetic and molecular determinants of wood formation, on the adaptive and structural dimensions of the wood phenome and on genetic diversity in natural or breeding populations for several traits of interest. In this unit, you will develop your research at the interface between physiologists (functional genomics) and geneticists (quantitative genetics) with the aim of integrating information obtained in systems biology into genomic prediction models that better take into account interactions between genes or between genes and the environment.
You will implement a systems biology approach to understand the architecture of molecular and genetic interactions acting on the expression of the phenome of individuals. This set of phenotypes will be examined in a population context where management of genetic relatedness is considered. You will develop both explanatory and predictive models of phenotypic and genetic values that integrate data acquired at high throughput and at multiple scales (genome, transcriptome, degradome, proteome, interactome, metabolome, cell, tissue, individual, population). This modelling approach will contribute to the inference of gene networks, and ultimately to the mapping of genetic and molecular interactions underlying phenotype variation. It will help the physiologist in his quest for functional variants, and the geneticist in the development of efficient genomic selection.
You will have at your disposal a very large number of "omic" and phenotypic data, obtained on natural populations of Populus nigra, pedigrees and transgenic poplars modified for the expression of genes involved in wood formation. DNA polymorphism data necessary for the identification of favourable allele clusters are also available. These resources will allow you to focus first on development and validation of models in collaboration with physiologists and geneticists. In addition to the wood phenome, other complex phenotypes studied in the research unit, in particular resistance to biotic and abiotic constraints, could allow you to broaden your research.
You will work in a research environment supported by a bioinformatics engineer, and skills in modelling, tree physiology and quantitative genetics. You will have access to local computing clusters, and will benefit from the strong anchoring of the host unit in several infrastructure and scientific networks around digital biology.

Great interest for field work (forest) to pilot and contribute punctually to the collection of phenotypic data.

Training and skills

PhD or equivalent

Open to candidates with a doctorate (or equivalent).
A specialization in quantitative genetics and a solid experience in functional genomicsare expected. Any experience in statistical modelling and bioinformatics will also be appreciated.
Fluency in English is desirable, as well as long-term international research experience: laureates who have not yet had postdoctoral experience should spend time, preferably abroad, at the end of the internship year and before passing through the CRCN.

INRAE's life quality

By joining our teams, you benefit from:

- 30 days of annual leave + 15 days "Reduction of Working Time" (for a full time);
- parenting support: CESU childcare, leisure services;
- skills development systems: training, career advise;
- social support: advice and listening, social assistance and loans;
- holiday and leisure services: holiday vouchers, accommodation at preferential rates;
sports and cultural activities;
- collective catering.

Offer reference

  • Profile number: CRCN20-ECOFA-1
  • Corps: CRCN
  • Category: A
  • Open competition number: 10

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