Contributes to design and leads Implementation of novel computational and statistical approaches and frameworks to analyze and interpret complex NGS data sets; Maintains, troubleshoots and improves existing bioinformatics tools, pipelines and software; Conducts genetic interpretation and application of results from NGS data generated for the LymphoTrack Assay products; Writes documentation and updates version control for new and existing bioinformatics tools, pipelines and software; Manages software validations and provides comments/reviews for regulatory documents; Coordinates and interacts closely with other scientists across multiple departments and disciplines on data quality and file management; implements these formats and metrics for project data
Requirements:
B.S. Degree in bioinformatics, computational biology, computer science, molecular biology, or related field with, typically 5+ years of post-graduate bioinformatics/computational experience to include experience in immunology or cancer research and applying statistics/biostatistics to biological datasets; Master’s Degree in bioinformatics, computational biology, computer science, molecular biology, or related field with, typically 2+ years’ related post-graduate experience; Experience with building bioinformatics analysis pipelines for immunology and/or oncology assays; Extensive experience with general bioinformatics data analysis and software/algorithm development
Text:
Senior Bioinformatics Associate Contributes to design and leads Implementation of novel computational and statistical approaches and frameworks to analyze and interpret complex NGS data sets; Maintains, troubleshoots and improves existing bioinformatics tools, pipelines and software; Conducts genetic interpretation and application of results from NGS data generated for the LymphoTrack Assay products; Writes documentation and updates version control for new and existing bioinformatics tools, pipelines and software; Manages software validations and provides comments/reviews for regulatory documents; Coordinates and interacts closely with other scientists across multiple departments and disciplines on data quality and file management; implements these formats and metrics for project data B.S. Degree in bioinformatics, computational biology, computer science, molecular biology, or related field with, typically 5+ years of post-graduate bioinformatics/computational experience to include experience in immunology or cancer research and applying statistics/biostatistics to biological datasets; Master’s Degree in bioinformatics, computational biology, computer science, molecular biology, or related field with, typically 2+ years’ related post-graduate experience; Experience with building bioinformatics analysis pipelines for immunology and/or oncology assays; Extensive experience with general bioinformatics data analysis and software/algorithm development
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