Research Scientist at Fred Hutchinson Cancer Research Center
Seattle, Washington, United States
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Summary
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Ilsa Coleman is a research scientist in Seattle with 11 years of experience applying bioinformatics, machine learning, and rigorous data management to genomics and transcriptomics studies across preclinical models and human clinical trials. At Fred Hutch she blends hands-on R programming and Linux-based data engineering with project leadership to deliver reproducible analyses, visualizations, and training while evaluating new pipelines and NGS methods. Her work has contributed to high-impact prostate cancer studies—identifying a “double-negative” resistant phenotype and characterizing PDX models and tumor heterogeneity—translating computational insights into therapeutic hypotheses. Trained in molecular biology and data analytics (MS), she uniquely pairs wet-lab assay development and NGS library optimization experience with large-scale data storage and cloud/cluster computing skills. Known for integrating practical lab know-how into computational workflows, she helps bridge the gap between experimental design and scalable genomic analysis.
10 years of coding experience
7 years of employment as a software developer
Summer Institute in Statistics for Big Data (SISBD), Summer Institute in Statistics for Big Data (SISBD) at University of Washington
University of California Santa Cruz
Master of Science - MS, Data Analytics, Master of Science - MS, Data Analytics at Western Governors University
North Seattle College
Biostatistics, Biostatistics at UC Berkeley Extension
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Ilsa Coleman - Research Scientist at Fred Hutchinson Cancer Research Center