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Position: Bioinformatics Engineer
Institution: Stanford University
Location: Stanford, California, United States
Duties: Development of pipelines and tools for the comprehensive analysis of large amounts of multi-omics data being generated by the GSS; Establish and maintain the cloud infrastructure for GSS on AnVIL and GCP; Interact with GREGoR team members as well as external tool developers to implement new tools, algorithms, and updates; Develop intuitive reports for molecular pipelines for tracking progress and quality metrics; Track reports for problems with pipeline analysis and underlying data; Extract relevant data from a variety of sources, including RESTful API services, databases and medical records
Requirements: Graduate degree (Ph.D or M.S) that emphasizes bio/medical informatics, engineering, computer science and statistics are preferred; Relevant work experience preferred, two or more years; Domain expertise in analysis and running pipelines and bioinformatic tools for at least one of the following ‘omes: genomics, transcriptomics, metabolomics, atac-seq, proteomics
   
Text: Bioinformatics Engineer Development of pipelines and tools for the comprehensive analysis of large amounts of multi-omics data being generated by the GSS; Establish and maintain the cloud infrastructure for GSS on AnVIL and GCP; Interact with GREGoR team members as well as external tool developers to implement new tools, algorithms, and updates; Develop intuitive reports for molecular pipelines for tracking progress and quality metrics; Track reports for problems with pipeline analysis and underlying data; Extract relevant data from a variety of sources, including RESTful API services, databases and medical records Graduate degree (Ph.D or M.S) that emphasizes bio/medical informatics, engineering, computer science and statistics are preferred; Relevant work experience preferred, two or more years; Domain expertise in analysis and running pipelines and bioinformatic tools for at least one of the following ‘omes: genomics, transcriptomics, metabolomics, atac-seq, proteomics
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