The recruited researcher will explore the role of genetics and environmental disturbances in the variability of rich phenotypes originating from imaging and/or medical, behavioral scores. In collaboration with neuroscientists and physicians, she/he will perform works to discover new biomarkers and markers/models for basic research in neurosciences (e.g. development, ageing). The research will be (not exclusively) performed on the neuroimaginggenetics cohorts being built at NeuroSpin (IMAGEN, EU-AIMS, Senior, …) for studies in neuroscience, neurodegenerative diseases, psychiatry, oncology (radiomics) or preclinical studies.
Essential Skills and Qualifications
· Ph.D. in applied mathematics, bioinformatics, image processing, biostatistics, machine learning, genetic epidemiology or related disciplines.
· Initial training or current position should bring knowledge in genetics, genetics epidemiology or genomics.
· Experience in applying and developing Machine Learning techniques in massive high-dimensional data. Any experience related to the use/development of biostatistics, machine learning, graphical models for association, heritability, integration studies between imaging phenotypes and genetic, epigenetic and gene expression measures.
· Experience in scientific programming ideally in Python. Experience with domain frameworks in Biostatistics (R/Bioconductor, Galaxy) Neuroimaging (Nipype, SPM, FSL, BrainVisa), Machine Learning (Scikit-learn).
· Good communication skills to work in a multi-professional team. Interest and knowledge in neuroimaging, neuroinformatics and bioinformatics will be appreciated. The candidate has a PhD and spent one or more PostDoc periods in scientific fields related with imaging-genetics. Ideally, she/he published several papers as a first author, and built a professional network in related scientific fields.
The position is very interdisciplinary, and proficiency in each domain is not expected. Therefore, candidates demonstrating skills in one or two domains and a motivated interest in innovative and interdisciplinary approaches are welcome.
Starting time: end of year 2016
Expected answers before end of July 2016
Interviews of the applicants in September 2016.
http://tinyurl.com/NS-ImagingGenetics
Ph.D. in applied mathematics, bioinformatics, image processing, biostatistics, machine learning, genetic epidemiology or related disciplines
Salary will be commensurate with experience
Permanent scientist position (researcher) at NeuroSpin neuroimaging center in Paris-Saclay France. NeuroSpin is an institute of CEA Fundamental Research Division. The position is opened within the BrainOmics team – research theme “Imaging-Genetics”.
Context
The BrainOmics Team1 (lead: V Frouin) is in charge of the research and development in imaging-genetics which is a field at the intersection of neuroinformatics, bioInformatics, applied statistics, and machine learning. The team is involved in several French and European projects.
