PERMANENT ENGINEER POSITION
JOB DESCRIPTION Applications are invited for a permanent engineer position at the Institut Pasteur of Paris (France) in the Statistical Genetics group. The engineer will work closely with researchers from the group and with collaborators from the Center of Bioinformatics, Biostatistics and Integrative Biology (C3BI), a new research facility within Pasteur, which now includes over 50 engineers and researchers specialized in computational biology.
The work focuses on big data analysis in the context of human genetics and the development of analytical and computational approaches for the integration of multidimensional omics’ data. In practice, the position involves the development of innovative statistical approaches, their implementation into efficient software able to handle millions of variables and dozens of thousands individuals, and their application in large-scale genetic data. All projects are conducted in a highly collaborative setting including both international and local research groups.
The Statistical Genetics group is addressing the following scientific questions: 1) improving our understanding of the genetic architecture of human traits; 2) evaluating the relevance of theoretical models for gene-gene and gene-environment interaction effects; and 3) improving our ability to predict complex traits when both genetic and non-genetic information is available. The work has a strong emphasis on multivariate approaches for the combined analysis of multiple predictors/multiple outcomes.
Real data applications use both individual–level data studies and summary statistics from large-scale genomics databases. The former data include genetic cohorts hosted at Pasteur (e.g. http://www.milieuinterieur.fr/en), publicly available genetic cohorts (e.g. http://www.ukbiobank.ac.uk/), and genetic cohorts available through collaborations with international genetic consortia (e.g. http://www.chargeconsortium.com/). The latter data include for example functional annotation (http://www.encode-roadmap.org/) and results from genome-wide association studies (https://grasp.nhlbi.nih.gov/FullResults.aspx).
QUALIFICATIONS Applicants should also have an engineer and/or a doctoral degree in Statistics, Computer Sciences or other relevant disciplines. Advanced expertise in multivariate statistics, matrix calculation, and programming in python, C or perl is required. Preliminary experience working with large scale data sets, developing new methods, and producing high quality published work, are desirable. Strong motivation is of primary importance.
ADDITIONAL INFORMATION Interested applicants should send their curriculum vitae, a cover letter detailing research experience, and contact information for three references to Dr. Hugues Aschard (firstname.lastname@example.org). Also, as this position is one of the ten positions offered by The C3BI this year, interested applicants have to follow the global C3BI recruitment process, apply on C3BI website (https://c3bi.pasteur.fr/careers/c3bi-2017-job-application/ ) and select the “Statistical genetics” profile.
More information on the Institut Pasteur, the C3BI, and the Statistical Genetics group can be found here http://www.pasteur.fr/en, here https://research.pasteur.fr/en/center/c3bi/, and here https://research.pasteur.fr/en/team/statistical-genetics/.