18 mois

Biostatistics

Maize is a plant of major agronomic interest and a better understanding of its adaptation to environmental
conditions is of paramount importance in the context of global climate changes and sustainable agriculture.
Our research group generated plant material from two Divergent Selection Experiments (DSEs) for
flowering time that started in 1997 from two maize inbred lines. During 20 years, the earliest and the latest
plants were reproduced by selfing generating derived populations of Early- and Late-flowering genotypes

Ingénieur en analyse de données omics

We offer an 18-months position for an Engineer in the field of bioinformatics applied to Next Generation Sequencing. The project aims at identifying the molecular alterations and defining the precise tumour subtype of a large series of “still unclassified” sarcomas using multidimensional and integrative data analysis approaches. The successful candidate will mine WTS, WES and methylome data to identify known and novel oncogenic alterations as well as to achieve robust classification.

biostatistique / data science

Poste pour un data scientist qui aura de vrai opportunités de changer le mode de fonctionnement du screening et d’avoir une plus-value y compris en apportant de nouvelles possibilités techniques d’analyses (big data, machine learning, data visualisation).
L’environnement du centre de recherche est attractif, innovant, à taille humaine et avec des possibilités d’évolutions internationales multiples.
Nous sommes déjà une super équipe d’une dizaine de Computational Life Scientist (Bioinformatics, Cheminformatics, Modeling, IT or Research project leads).

Postdoctoral Fellow position in the Laboratory of Chemoinformatics-University of Strasbourg, France

Postdoctoral Fellow position in the Laboratory of Chemoinformatics-University of Strasbourg, France
We are looking for a Cheminformatics Scientist for a postdoctoral project devoted to computer-aided design of new solvents for CO2 capture. This is a collaborative project with the chemical/energy industry involving a database preparation, application of some machine-learning methods for building structure-property models, preparation and screening of a combinatorial library.

Ingénieur R/Rshiny

Starting date: June 2019

A 18 months engineer position (IE or IR according to applicant profile) is available in the DEpiC group at UMR3244/Translational Department. The candidate will work on multi-omics datasets (RNA-seq, ChIP-seq, single cell datasets) to create Shiny interfaces from existing R scripts in the lab. The successful candidate will work within the DEpiC group (headed by Céline Vallot), a group constituted of wet-lab biologists as well as data analysts, and in collaboration with the U900 - Bioinformatics and Biostatistics Department - and the Data Department.