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Employer
- Centre for Genomic Regulation
- Centro Nacional de Investigación Sobre la Evolución Humana, CENIEH
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- IESE Business School
- ISGLOBAL
- Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida)
- Universitat Autònoma de Barcelona
- Universitat de Barcelona
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Field
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deep shotgun sequencing data to profile the microbiome at the taxonomic and functional levels and applying statistical analyses to large datasets to identify (ideally, genetic) factors affecting
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different sources, organize and analyze them using appropriate statistical or computer tools. - Attendance at meetings of the European Consortium, management and preparation of documents. - Collaboration in
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/Qualifications Expertise in advanced statistical techniques, particularly in spatial modeling. Knowledge of spatial ecology and experience in modelling species’ habitats. Strong foundation in statistics
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. SKILLS Experience in implementing or conducting research in LMIC Experience in processing and managing of complex and large datasets, as well as in statistical packages, preferably R and STATA Motivated
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screens, statistical genetics, and the integration of genetic and regulatory data. This multidisciplinary approach gives us unique opportunities to engage in collaborative projects that combine experimental
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. •Experience with large-scale datasets and advanced statistical methods is beneficial, but not mandatory.•Excellent level of spoken and written English.•Work-permit for Spain, and willingness to relocate
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points; Proficiency in GIS (QGIS, GeoDa), Python, R, or other statistical tools (SPSS, SAS, MPLUS) → 20 points; Experience in interdisciplinary and collaborative research environments → 10 points
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-on experience with next-generation sequencing (NGS), whole-genome/exome sequencing, or other genomic techniques. Use of statistical methods for association studies (e.g., GWAS, polygenic risk scores). Experience
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statistical analyses; R Studio experience is a plus. Experience in the development of open-access databases, datasets, websites, and/or other scientific resources. Mobility experience, defined in the 2005