Jenny Smith is a Senior Computational Biologist with a decade of experience building reproducible genomics pipelines and delivering multi-omics analyses for pediatric oncology and translational research. She combines deep expertise in transcriptomics and epigenetics (single-cell and bulk RNA-seq, miRNA-seq, Cut&Run, ChIP-seq, ATAC-seq) with practical data engineering skills—authoring Nextflow/nf-core workflows and enabling cloud/HPC execution. Her work spans end-to-end solutions from raw-data processing to statistical modeling, visualization in R/Python, and production-ready R packages that integrate clinical covariates with expression data. Jenny has driven large-scale projects processing thousands of samples and currently applies that experience to identify CAR T-cell targets in pediatric AML and T-ALL at Bambino Gesù. She pairs rigorous computational methods with hands-on wet-lab experience and teaching background, making her effective at collaborating across clinicians, biologists, and bioinformaticians. Based in Seattle, she is known for scaling complex analyses into reproducible pipelines that accelerate translational impact.
10 years of coding experience
Master of Science (M.Sc.), Bioinformatics and Biology, Cumulative GPA: 3.78, Master of Science (M.Sc.), Bioinformatics and Biology, Cumulative GPA: 3.78 at University of Oregon
Master of Education (M.Ed.), Secondary Education and Teaching in Science, Cumulative GPA: 3.86, Master of Education (M.Ed.), Secondary Education and Teaching in Science, Cumulative GPA: 3.86 at Arizona State University
Bachelor of Arts (B.A.), Biology, General, GPA: 3.80 Biology Major GPA: 3.93, Bachelor of Arts (B.A.), Biology, General, GPA: 3.80 Biology Major GPA: 3.93 at University of San Diego College of Arts and Sciences
STAR-fusion run on AWS Batch using Nextflow workflow manager.
Contributions:2 PRs, 66 pushes, 1 branch in 3 years 8 months
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