CV

Contact Information

Name Emma Bishop, M.S.
Professional Title Bioinformatics Data Scientist
Email ebishop@fredhutch.org

Professional Summary

Bioinformatics data scientist with 7 years of experience in genomics, single-cell transcriptomics, and tool development. Passionate about turning complex biological data analyses into reproducible, scalable workflows.

Experience

  • 2025 - present

    Seattle, WA

    Research Informatics Data Scientist
    Fred Hutch
    • Build WDL workflow and Docker resources to be used across Fred Hutch
    • Develop an LLM-based tool to write WDL workflows using a locally hosted model
    • Meet one-on-one with reserachers in Data House Calls to support individual needs
  • 2021 - 2025

    Seattle, WA

    Bioinformatician
    University of Washington
    Studied immune responses to tuberculosis (TB) in the Seshadri Lab, part of the Seattle TB Research Advancement Center.
    • Utilized R and Bioconductor packages (e.g. Seurat) for analyzing multi-modal single-cell immune repertoire profiling data, including 10X with CITE-seq and TCR-seq.
    • Employed methods such as differential gene expression (DGE), gene set enrichment analysis (GSEA), and cell-cell communication inference for single-cell gene expression data analysis.
    • Ran bioinformatics pipelines using custom WDL scripts and Docker containers (e.g. for running Cell Ranger on Google Cloud instances).
    • Developed custom visualizations including volcano plots, PCA plots, Circos plots, and alluvial plots.
    • Established standard workflows for bioinformatics analyses and trained lab members.
    • Contributed to scientific manuscripts, presentations, quarterly reports, and grant applications.
    • Managed lab AWS and GitHub accounts, built custom reference genomes, and uploaded data to bioinformatics databases (SRA, GEO).
  • 2019 - 2023

    San Diego, CA

    Bioinformatics Graduate Research Assistant
    San Diego State University
    Developed bioinformatics tools to study clinical Mycobacterium tuberculosis genomes in the Valafar Lab.
    • Built and maintained a SQLite database for storing genomic variant data from 400 clinical Mycobacterium tuberculosis genomes.
    • Improved Python software for annotating whole Mycobacterium tuberculosis genomes and performing variant calling.
    • Used standard bioinformatics tools and databases such as BCFtools, STAR, VEP, and Mycobrowser.
    • Implemented and developed bioinformatics pipelines for processing Illumina and PacBio next-generation sequencing data.
    • Participated in grant writing, internal manuscript review, and journal club.
  • 2019 - 2020

    San Diego, CA

    Teaching Assistant
    San Diego State University
    • Independently taught ‘BIOL 211L Fundamentals of Microbiology’ to 30 students.
  • 2017 - 2019

    San Diego, CA

    Clinical Research Coordinator
    UC San Diego Health Moores Cancer Center
    • Coordinated a phase I CAR-T trial for Multiple Myeloma.
    • Coordinated early phase trials for Acute Lymphoblastic Leukemia.
    • Entered data into iMedidata RAVE, DataLabs, InForm, ClinTrak, and other EDCs.
  • 2017 - 2017

    Seattle, WA

    Clinical Research Coordinator II
    Benaroya Research Institute at Virginia Mason
    • Coordinated phase IB/II trials.
    • Coordinated Institutional Biosafety Committee reviewed studies.
  • 2015 - 2017

    Seattle, WA

    Clinical Research Coordinator I
    Benaroya Research Institute at Virginia Mason
    • Coordinated phase III-IV immunotherapy and small molecule oncology trials.
    • Collected and processed blood, tissue, and urine samples.
    • Consented patients, scheduled visits, ordered labs and tests.
  • 2014 - 2015

    Seattle, WA

    Research Assistant
    Benaroya Research Institute at Virginia Mason
    • Collected, processed, and shipped blood and tissue samples to central laboratories.
    • Played a major role in the foundation and management of a blood and fresh tissue repository.
  • 2010 - 2012

    Seattle, WA

    Undergraduate Research Associate
    Kaeberlein Lab, University of Washington
    • Studied the effects of caffeine on lifespan in yeast (S. cerevisiae) and nematodes (C. elegans).
    • Used RNAi, PCR, fluorescence microscopy, and microbiology lab techniques.
    • Developed novel assay to study movement of caffeinated nematodes.
    • Assisted with manuscript writing.

Education

  • 2019 - 2023

    San Diego, CA

    Master of Science
    San Diego State University
    Bioinformatics
  • 2009 - 2012

    Seattle, WA

    Bachelor of Science
    University of Washington
    Biology, General

Awards

  • Graduate Equity Fellowship
    San Diego State University

Publications

  • BCG vaccination induces antibacterial effector functions among Vδ1/3 T cells that are associated with protection against tuberculosis
  • IFN-gamma-GranzymeB+ Natural killer cells are induced by IV BCG vaccination and associated with protection against tuberculosis in rhesus macaques
  • Automated Discovery of Patterns in T-Cell Receptor Physicochemical Signatures
  • Probing Dermal Immunity to Mycobacteria through a Controlled Human Infection Model
  • PBHoover and Hybran: Tools for studying genomic features in Mycobacterium tuberculosis
  • Hybran: Hybrid Reference Transfer and ab initio Prokaryotic Genome Annotation
  • Caffeine extends life span, improves healthspan, and delays age-associated pathology in Caenorhabditis elegans

Skills

Programming (Expert): Python, R, Bash, WDL
Bioinformatics (Expert): Single-cell RNA-seq, CITE-seq, TCR-seq, DGE, GSEA, Cell Ranger, Seurat, Bioconductor, BCFtools, STAR, VEP
Infrastructure (Proficient): AWS, Docker, Google Cloud, SQLite, GitHub

Certificates

  • Supervised Machine Learning - Regression and Classification - Coursera
  • Python for Everybody Specialization - Coursera