Lead algorithm development effort for NGS applications including conceptualization, method development and implementation of production level algorithms in an Agile environment; Follow software development process and deliver and maintain documentation that explains why and how as well as the final design for scientific, marketing, and regulatory uses; Present internally or externally (peer-reviewed publications or conference proceedings) and communicate updates across multiple functions in the organization. Transfer algorithm to production teams and provide scientific support for updates and maintenance
Requirements:
PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics or other quantitative field combined with 4+ years’ experience of designing novel algorithms for NGS data analysis for example read processing, variant calling (SNV, insertions/deletions, CNV, SV, TMB, MSI etc.), variant annotation and analyzing large scale complex genomic datasets; Experiences in developing novel algorithms, complexity analysis, as well as demonstrated skillset in statistical and mathematical modeling is a Must
Text:
Principal Scientist Bioinformatics Lead algorithm development effort for NGS applications including conceptualization, method development and implementation of production level algorithms in an Agile environment; Follow software development process and deliver and maintain documentation that explains why and how as well as the final design for scientific, marketing, and regulatory uses; Present internally or externally (peer-reviewed publications or conference proceedings) and communicate updates across multiple functions in the organization. Transfer algorithm to production teams and provide scientific support for updates and maintenance PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics or other quantitative field combined with 4+ years’ experience of designing novel algorithms for NGS data analysis for example read processing, variant calling (SNV, insertions/deletions, CNV, SV, TMB, MSI etc.), variant annotation and analyzing large scale complex genomic datasets; Experiences in developing novel algorithms, complexity analysis, as well as demonstrated skillset in statistical and mathematical modeling is a Must
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