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Fred Hutch · 18 hours ago

Bioinformatics Analyst I - Spatial Multi-Omics and Integrative Analysis

Seattle, WA

Full-time

Onsite

Entry, Mid Level

$80K/yr - $104K/yr

2+ years exp

Fred Hutchinson Cancer Center is an independent, nonprofit organization focused on cancer and infectious diseases. The Bioinformatics Analyst I will provide analytical support for studies on cancer initiation and progression, focusing on the analysis and integration of spatial multi-omics datasets.

Hospital & Health Care

No H1B

Responsibilities

Process, analyze, and interpret spatial transcriptomics and spatial proteomics data

Develop and implement computational workflows for image alignment, cell segmentation, gene/protein quantification, clustering, and spatial domain detection

Integrate multi-modal datasets (transcriptomic, proteomic, methylation, scRNA-seq) to identify molecular programs and cell–cell interactions driving cancer initiation and progression

Collaborate with lab members and collaborators on study design, data interpretation, and presentation of results

Generate high-quality visualizations and figures for internal reports, manuscripts, and grant submissions

Maintain documentation, reproducibility, and version control of analysis pipelines (GitHub, Jupyter/R Markdown, Snakemake/Nextflow)

Participate in lab meetings, contribute to collaborative problem solving, and stay current with emerging computational methods in spatial and single-cell biology

Qualification

Spatial multi-omics analysis10x Genomics XeniumAkoya PhenoCycler-FusionRPythonSeuratScanpySingle-cell RNA-seqCellMolecular biologyCommunicationOrganizational skills

Required

Bachelor's degree or higher in Bioinformatics, Computational Biology, Biostatistics, Computer Science, or a related field

Minimum 2 years of hands-on experience analyzing high-throughput sequencing or multi-omics data. (Additional education considered in lieu of experience)

Proficiency in R and/or Python, with experience using Seurat, Scanpy, Squidpy, or Giotto for spatial or single-cell analysis

Demonstrated expertise in Xenium, PhenoCycler-Fusion, or related spatial omics platforms

Strong foundation in cell and molecular biology, enabling biological interpretation of computational findings

Excellent communication and organizational skills, with the ability to manage multiple projects independently and collaboratively