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Position: Senior Bioinformatician
Institution: Stanford University
Location: Stanford, California, United States
Duties: Meeting faculty members and researchers to evaluate their bioinformatics needs; Conducting data analysis that meets quality standards of major peer-reviewed publications; Providing faculty members and researchers with data, analysis protocols, figures, method descriptions, code, documentation, support, and anything else that might be needed to meet project goals; Managing time and projects efficiently to support the analysis needs of multiple labs simultaneously; Establishing, refining, and standardizing the process for bioinformatics analysis and validation. Benchmark-driven development is expected, e.g., use of PrecisionFDA/Genome-in-a-Bottle for DNASeq analysis, or the use of well-characterized data or simulated data where commonly-used reference datasets do not exist
Requirements: PhD in Bioinformatics, Computational Biology, Physics, Computer Science or related field; Ability to define and solve logical problems for highly technical applications; Deep understanding of next-generation sequencing data and bioinformatics algorithms. While Illumina sequencers are the most common data source, it is not unusual to see 10xGenomics or PacBio data; Provide best-practices data analysis, including QC and visualization, employing common NGS pipelines such as RNAseq, ChIP-seq, ATAC-seq, Methyl-seq, DNA-seq, and Microbiome Sequencing. Multiomics analysis is often needed
   
Text: Senior Bioinformatician Meeting faculty members and researchers to evaluate their bioinformatics needs; Conducting data analysis that meets quality standards of major peer-reviewed publications; Providing faculty members and researchers with data, analysis protocols, figures, method descriptions, code, documentation, support, and anything else that might be needed to meet project goals; Managing time and projects efficiently to support the analysis needs of multiple labs simultaneously; Establishing, refining, and standardizing the process for bioinformatics analysis and validation. Benchmark-driven development is expected, e.g., use of PrecisionFDA/Genome-¬in-¬a-¬Bottle for DNA¬Seq analysis, or the use of well-characterized data or simulated data where commonly-used reference datasets do not exist PhD in Bioinformatics, Computational Biology, Physics, Computer Science or related field; Ability to define and solve logical problems for highly technical applications; Deep understanding of next¬-generation sequencing data and bioinformatics algorithms. While Illumina sequencers are the most common data source, it is not unusual to see 10xGenomics or PacBio data; Provide best-¬practices data analysis, including QC and visualization, employing common NGS pipelines such as RNA¬seq, ChIP¬-seq, ATAC-seq, Methyl-seq, DNA¬-seq, and Microbiome Sequencing. Multi¬omics analysis is often needed
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