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Position: PostDoc Animal Bioinformatics
Institution: Skolkovo Institute of Science and Technology
Location: Moscow, Russia
Duties: We are looking for a motivated and talented Postdoc that is eager to work on cutting-edge research projects within our young and international team. The applicant will contribute to multidisciplinary projects in direct cooperation with animal breeders, molecular biologists, and support teams, in a frame of national and international cooperations with public institutes and companies. The applicant will participate to the elaboration of molecular breeding strategies based on GWAS and Genomic Selection in livestocks. You will set-up pipelines to analyze and organize genomic diversity data (whole genome resequencing or other methods, SNP array) for animal genomes. Transcriptomics and proteomics data will be also included. You will benefit from the strong international resources developed about these genomes in the last 12-10 years
Requirements: PhD in Bioinformatics or a related discipline, or Biological Science in a relevant field of molecular breeding or quantitative genetics, or Statistical Genetics; Expertise in bash and pipelines from raw sequencing data to VCF files, and expertise in statistical software (R, Python, etc.); Some knowledge and experience with statistical tools and methods involved in animal modern genetics are an asset. If not, the lab will provide detailed and thorough training in this field; Fluent in written and oral English language is essential
   
Text: PostDoc Animal Bioinformatics We are looking for a motivated and talented Postdoc that is eager to work on cutting-edge research projects within our young and international team. The applicant will contribute to multidisciplinary projects in direct cooperation with animal breeders, molecular biologists, and support teams, in a frame of national and international cooperations with public institutes and companies. The applicant will participate to the elaboration of molecular breeding strategies based on GWAS and Genomic Selection in livestocks. You will set-up pipelines to analyze and organize genomic diversity data (whole genome resequencing or other methods, SNP array) for animal genomes. Transcriptomics and proteomics data will be also included. You will benefit from the strong international resources developed about these genomes in the last 12-10 years PhD in Bioinformatics or a related discipline, or Biological Science in a relevant field of molecular breeding or quantitative genetics, or Statistical Genetics; Expertise in bash and pipelines from raw sequencing data to VCF files, and expertise in statistical software (R, Python, etc.); Some knowledge and experience with statistical tools and methods involved in animal modern genetics are an asset. If not, the lab will provide detailed and thorough training in this field; Fluent in written and oral English language is essential
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