Experience

The Jackson Laboratory

• United States
• Biotechnology Research
• 700 & Above Employee

• Bioinformatics Analyst I

  • Nov 2020 - Present



bluebird bio

• United States
• Biotechnology Research
• 300 - 400 Employee

• Data Science Co-Op

  • Jan 2020 - Jun 2020

  • Database Design for storing data from 4 different pipelines to allow for fast and accessible storage and to support various clinical trials • Automation of data modification, loading and access in Python by creating all editing, transformation and loading scripts for flat files stored in AWS S3 buckets • Developed a data access utility package in R to be utilized by various teams to access data stored in our database in various formats to input into downstream analysis pipelines such… Show more • Database Design for storing data from 4 different pipelines to allow for fast and accessible storage and to support various clinical trials • Automation of data modification, loading and access in Python by creating all editing, transformation and loading scripts for flat files stored in AWS S3 buckets • Developed a data access utility package in R to be utilized by various teams to access data stored in our database in various formats to input into downstream analysis pipelines such as DESeq and Seurat • Set up an alpha version of a scrnaseq kallisto bustools pipeline for single cell pre-processing to benchmark against Seurat Show less • Database Design for storing data from 4 different pipelines to allow for fast and accessible storage and to support various clinical trials • Automation of data modification, loading and access in Python by creating all editing, transformation and loading scripts for flat files stored in AWS S3 buckets • Developed a data access utility package in R to be utilized by various teams to access data stored in our database in various formats to input into downstream analysis pipelines such… Show more • Database Design for storing data from 4 different pipelines to allow for fast and accessible storage and to support various clinical trials • Automation of data modification, loading and access in Python by creating all editing, transformation and loading scripts for flat files stored in AWS S3 buckets • Developed a data access utility package in R to be utilized by various teams to access data stored in our database in various formats to input into downstream analysis pipelines such as DESeq and Seurat • Set up an alpha version of a scrnaseq kallisto bustools pipeline for single cell pre-processing to benchmark against Seurat Show less