Junior Research Scientist in genomic data modeling for the study of adaptive dynamic of population


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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

You will join the Genetics, Physiology and Breeding Systems Research Unit (GenPhySE) composed of 150 permanent staff. The unit brings together expertise in biology, physiology, genomics, genetics, statistics and bioinformatics. Research developed in the unit aims to improve understanding of the biology of domestic animals and, in particular, the genetic determinism of traits, to contribute to the agroecological transition of breeding systems. One of the challenges is to identify the genetic polymorphisms associated with traits, to understand their effects on the expression and functioning of genomes, and to use this information to improve animal breeding schemes.

You will join the Evolutionary Dynamics of Genomes (Dynagen) team composed of 5 scientists with expertise in population genetics, quantitative genetics, statistics and bioinformatics. The team participates in many national and international projects and networks. With recognized skills in high throughput integrative analysis of genomic data, it develops cutting-edge work on the functional annotation of the genomes of farm animal species, their functioning, their structural diversity, and their evolution. In particular, it is developing original approaches for the detection of selection traces and the study of the demographic history of populations.

You will lead an ambitious research project to identify and understand the impact of different evolutionary pressures on the evolution of the genomes of the livestock species studied in the Animal Genetics division (ruminants, pigs, poultry...). The aim will be to use massive sequence data to characterize the structure and evolutionary history of adaptive polymorphisms and in particular, to reconstruct the temporal dynamics of their evolution. By mobilizing integrative analyses, you will exploit the data produced by the members of the team or their collaborators from the international community to search for links between the adaptive effects of polymorphisms, their effects on the traits of interest and their status in terms of functional annotation. You will conduct your research project by exploiting methods from the literature and developing new concepts, methods and analysis tools. In particular, you will evaluate the contribution of approaches derived from artificial intelligence in this field. You will actively participate in the analysis of data on different livestock species in collaboration with members of the team, the animal genetics division and their partners.

You will develop your own collaborations and build your network within a rich and dynamic national and international community.

Training and skills

PhD or equivalent

Candidates must have a PhD or equivalent.
A PhD in genetics or statistics and experience in the development of statistical models and methods for the analysis of large-scale data are recommended. An interest in evolution and population genetics, a taste for data analysis and interdisciplinary collaborations is desired.
Candidates should have a good command of English, and long-term international experience would also be desirable. Successful candidates who have not yet acquired this experience abroad will be required to do so after their probationary period (1st year).

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: CR-2021-GA-1
  • Corps: CRCN
  • Category: A
  • Open competition number: 13

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