Develop and optimize analysis workflows to analyze NGS data, including both whole genome sequencing (WGS/WES), targeted sequencing, and bulk/single cell RNA Seq; Develop novel Bioinformatics methods to answer platform and biological questions, and demonstrate validity of methods through prototypes and benchmarking using appropriate controls; Work with other computational biologists and computational engineers to deliver and optimize production-level pipelines; Proper documentation of code, workflows, and analyses including study reports for nonclinical and clinical studies and regulatory filings; Communicate to a broad audience with a range of technical, analytical, and biological expertise and present results on a regular basis at various group meetings
Requirements:
A PhD and 3+ years post-PhD experience in bioinformatics, computational biology, and data science; Demonstrated experience in the field of computational biology, CRISPR off target genomics, cancer genomics, and/or single-cell genomics; Extensive expertise in analyzing, interpreting, and visualizing human genomics datasets generated by high-throughput sequencing technologies including short- (Illumina) and long-read- (e.g. PacBio and Oxford Nanopore) sequencing; Extensive experience performing statistical analyses of large genomic datasets and validation of genomic pipelines; Expert-level proficiency in relevant programming languages such as R and Python; Proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow or snakemake), and version control (e.g., git)
Text:
Scientist, Computational Biology Develop and optimize analysis workflows to analyze NGS data, including both whole genome sequencing (WGS/WES), targeted sequencing, and bulk/single cell RNA Seq; Develop novel Bioinformatics methods to answer platform and biological questions, and demonstrate validity of methods through prototypes and benchmarking using appropriate controls; Work with other computational biologists and computational engineers to deliver and optimize production-level pipelines; Proper documentation of code, workflows, and analyses including study reports for nonclinical and clinical studies and regulatory filings; Communicate to a broad audience with a range of technical, analytical, and biological expertise and present results on a regular basis at various group meetings A PhD and 3+ years post-PhD experience in bioinformatics, computational biology, and data science; Demonstrated experience in the field of computational biology, CRISPR off target genomics, cancer genomics, and/or single-cell genomics; Extensive expertise in analyzing, interpreting, and visualizing human genomics datasets generated by high-throughput sequencing technologies including short- (Illumina) and long-read- (e.g. PacBio and Oxford Nanopore) sequencing; Extensive experience performing statistical analyses of large genomic datasets and validation of genomic pipelines; Expert-level proficiency in relevant programming languages such as R and Python; Proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow or snakemake), and version control (e.g., git)
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