Collaborate with wet lab scientist on experimental design and analysis to develop and optimize new analytic approaches using NGS technologies; Collaborate with organism engineers to plan projects, write proposals and design impactful experiments; Analyze and interpret sequencing data from multiple NGS technologies to support project success across Ginkgo; Interface with software engineers to create and implement NGS data analysis pipelines for production use; Develop, run and monitor production code for data analysis pipelines deployed to cloud-based batch/distributed processing platforms
Requirements:
Bachelor’s with 4+ years of relevant experience, Master’s with 2+ years of relevant experience or PhD in a relevant field such as genetics, genomics, computational biology; Demonstrated strong skills in computational biology as evidenced by proficiency in analyzing NGS datasets (e.g., transcriptomics) with existing tools or custom pipelines/methods; Experience with many or all of the following: Python, R, Bash/Unix scripting, common bioinformatics tools (samtools, bwa, RNAseq specific tools), workflow management systems (snakemake, nextflow), relational databases (SQL), GraphQL, Tableau, cloud computing platforms and tools (AWS/Google Cloud), Docker, software version control (git), CI/CD
Text:
Computational Biologist, NGS Collaborate with wet lab scientist on experimental design and analysis to develop and optimize new analytic approaches using NGS technologies; Collaborate with organism engineers to plan projects, write proposals and design impactful experiments; Analyze and interpret sequencing data from multiple NGS technologies to support project success across Ginkgo; Interface with software engineers to create and implement NGS data analysis pipelines for production use; Develop, run and monitor production code for data analysis pipelines deployed to cloud-based batch/distributed processing platforms Bachelor’s with 4+ years of relevant experience, Master’s with 2+ years of relevant experience or PhD in a relevant field such as genetics, genomics, computational biology; Demonstrated strong skills in computational biology as evidenced by proficiency in analyzing NGS datasets (e.g., transcriptomics) with existing tools or custom pipelines/methods; Experience with many or all of the following: Python, R, Bash/Unix scripting, common bioinformatics tools (samtools, bwa, RNAseq specific tools), workflow management systems (snakemake, nextflow), relational databases (SQL), GraphQL, Tableau, cloud computing platforms and tools (AWS/Google Cloud), Docker, software version control (git), CI/CD
Please click here, if the job didn't load correctly.
Please wait. You are being redirected to the job in 3 seconds.
