We are seeking an enthusiastic postdoc to work on computational developments for functional interpretation of human genetic variation. This project is part of a nation-wide collaborative effort to analyse and interpret genetic variation in an extensively phenotyped sample of the French population. The postdoc will explore machine-learning and statistical approaches to (i) integrate functional and population genomics data in order to identify non- coding genetic variants with an impact on gene expression, (ii) infer tissue-specific outcomes of allelic variation in humans, and (iii) interpret molecular impacts of allelic variants associated with well-characterized phenotypes studied by collaborators.
The position is funded by the French National Institute for Health and Medical Research (INSERM) for two years. The postdoc will join the Dynamics and Organisation of Genomes laboratory, located at the Institute of Biology of the ENS. ENS is a prestigious university with a vibrant academic life and is part of the Paris Sciences et Lettres (PSL) network of universities and research centers, ranking 1rst in France according to the Times Higher Educationās World University Ranking. The institute is located in the heart of Paris, in the Quartier Latin known for its lively student life, restaurants and bars.
This position is in tight collaboration with the Theories and Approaches of Genomic Complexity laboratory (TAGC, UniversiteĢ Aix-Marseille) in Marseille, France, with opportunities for research stays at TAGC.
Applicants must have a PhD degree or equivalent, or have submitted their thesis at the time of application. The ideal applicant will have experience with computational analysis of genomics data, methodological developments for genomics, machine-learning for biological applications, biostatistics and/or population genetics; however, we will also consider applicants coming from computer science, physics and mathematics with relevant experience with machine-learning or big data problems and a strong interest for biology. Programming skills in a relevant bioinformatics language (Python, R, etc) are a requisite. Candidates will also be expected to write manuscripts, deliver research presentations and be involved in the daily life and management of the laboratory.
Please send your application (cover letter, detailed CV) and the names of two referees with your relationship to them to dyogenjobs@biologie.ens.fr