Jim Griffin

Bioinformatics Scientist at Amber Bio
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Location
San Francisco, California, United States, US

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Experience

    • Pharmaceutical Manufacturing
    • 1 - 100 Employee
    • Bioinformatics Scientist
      • Nov 2022 - Present
    • United States
    • Biotechnology Research
    • 100 - 200 Employee
    • Bioinformatics Scientist
      • Sep 2020 - Dec 2022

      I build NGS pipelines to support gene therapy discovery and pre-clinical development I build NGS pipelines to support gene therapy discovery and pre-clinical development

    • United States
    • Biotechnology Research
    • 700 & Above Employee
    • Bioinformatics Scientist
      • Oct 2018 - Sep 2020

      - I analyze short & long read NGS data to assist program teams with genome assembly, strain improvement & validation, variant calling & effect classification, etc. - Led a team to productionize Ginkgo’s long-read sequencing capabilities and scaled throughput 5X from a manual process to a standardized service that assembled 48 microbial genomes per week via wet-lab process changes, data tracking and analysis pipeline development - Developed Illumina and Nanopore based strain verification pipelines to identify repetitive, high copy number, random DNA integration events in challenging hosts - Developed and deployed Dockerized workflows in AWS for a variety of new NGS services including amplicon processing, genome polishing & annotation liftover, comparative genomics applications, RNAseq, and structural variant detection Show less

    • Philippines
    • Higher Education
    • 1 - 100 Employee
    • PHD Candidate
      • Sep 2013 - Sep 2018

      Researched microbial community assembly mechanisms using next-generation sequencing data. Designed and built workflows for taxonomic clustering and analysis of community diversity using Python, R and bash. Studied exoelectrogenic biofilm composition and functional responses to shifts in carbon feed sources. Researched microbial community assembly mechanisms using next-generation sequencing data. Designed and built workflows for taxonomic clustering and analysis of community diversity using Python, R and bash. Studied exoelectrogenic biofilm composition and functional responses to shifts in carbon feed sources.

    • Analyst
      • 2012 - 2013

Education

  • Massachusetts Institute of Technology
    Bachelor of Science - BS, Chemical Engineering
  • Northwestern University
    Doctor of Philosophy - PhD, Chemical Engineering
    2013 - 2018

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