Owning and leading various projects, serving as a subject matter expert; Developing and implementing bioinformatics tools and pipelines in cloud environment; Collaborating with DFCI software engineering and data science teams as well as interacting with external cloud and other technology vendors; Meeting, consulting, and providing computational and informatics support to various DFCI scientists and independent faculty members in designing and executing key biomedical projects; Collecting, analyzing, interpreting, and integrating complex biomedical data; Delivering results for projects and generating relevant reports
Requirements:
Bachelor’s degree required in a STEM field. Master’s degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field; Deep bioinformatics skills at the interface between bioinformatics programming and understanding of biological and clinical problems; Experience in analysis of the next generation sequencing data, e.g. WXS/WGS, RNA-Seq, etc; experience in single-cell and/or ctDNA data analysis is a plus
Text:
Bioinformatician Owning and leading various projects, serving as a subject matter expert; Developing and implementing bioinformatics tools and pipelines in cloud environment; Collaborating with DFCI software engineering and data science teams as well as interacting with external cloud and other technology vendors; Meeting, consulting, and providing computational and informatics support to various DFCI scientists and independent faculty members in designing and executing key biomedical projects; Collecting, analyzing, interpreting, and integrating complex biomedical data; Delivering results for projects and generating relevant reports Bachelor’s degree required in a STEM field. Master’s degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field; Deep bioinformatics skills at the interface between bioinformatics programming and understanding of biological and clinical problems; Experience in analysis of the next generation sequencing data, e.g. WXS/WGS, RNA-Seq, etc; experience in single-cell and/or ctDNA data analysis is a plus
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