Position available for 36 months
Starting at 01 sept 2017
Location : Lille, France
Lab : INSERM U1011 Récepteurs nucléaires, Maladies Cardiovasculaires et Diabète
Contact : email@example.com
Our laboratory has a long standing interest in studying metabolic diseases. The recent
advent of large scale Omics data sets has launched a new era in biological sciences. We aim at
developing appropriate bioinformatic tools which will provide manageable information to biologists.
The applicant will contribute to a reasearch program aiming at identifying markers/regulation networks involved in different Non-Alcoholic Steato Hepatitis (NASH) stages. This Research Program will benefit from data obtained from human cohorts.
The major scope is the statistical inference from transcriptomic data (micro-arrays) of this cohort, and their integration with other high-dimensional data publicly available or with bioinformatic cistromic models developped in the lab. Analyses will start with micro-arrays data and will be completed by clinical and metabolomic parameters for the cohort. Then the second part of this project aims at redefining a standard pipeline for transcriptomic analyses in the laboratory and at developping it in R.
Profile: PhD in Bioinformatics and/or Biostatistics
Experience in statistical analysis of micro-arrays data, and knowledge of omics technologies,
skills in multivariate methods and statistical learning in high dimension, dimension reduction methods (data modelisation, inferential statistics...),
knowledge and experience in R/Bioconductor,
Autonomy and team spirit,
Organizational skills, ability to provide synthetic and didactic presentation of scientific results are also required (interface with molecular biologists)
A previous experience in regulation network modelisation and high-dimensional data integration would be an asset.