Bioinformatics Analyst I Spatial Multi-Omics and Integrative Analysis

Fred Hutchinson Cancer Center is an independent nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.

With a track record of global leadership in bone marrow transplantation HIV/AIDS prevention immunotherapy and COVID-19 vaccines Fred Hutch has earned a reputation as one of the worlds leading cancer infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology infusion radiation proton therapy and related services and network affiliations with hospitals in five states. Together our fully integrated research and clinical care teams seek to discover new cures to the worlds deadliest diseases and make life beyond cancer a reality.

At Fred Hutch we value collaboration compassion determination excellence innovation integrity and respect. Our mission is directly tied to the humanity dignity and inherent value of each employee patient community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.

The Bioinformatics Analyst I will provide advanced analytical support for translational and mechanistic studies focused on cancer initiation progression and the tumor microenvironment. The position centers on the analysis and integration of spatial multi-omics datasets particularly those generated using 10x Genomics Xenium in situ transcriptomics and Akoya PhenoCycler-Fusion multiplex proteomics platforms as well as single cell/single nuclei RNA-seq.

The successful candidate will play a key role in developing and applying computational workflows to extract biological insight from large-scale high-dimensional datasets at single-cell resolution. Working closely with research staff postdoctoral fellows and the principal investigators the Analyst will help design analytical strategies interpret findings in biological context and generate data visualizations and figures for publications and grant applications.

This is an opportunity to contribute to a multidisciplinary research environment that integrates molecular biology spatial transcriptomics proteomics and computational modeling to understand the role of tissue microenvironment in cancer initiation and progression.

• 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 cellcell 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.

MINIMUM QUALIFICATIONS:

• Bachelors 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.

PREFERRED QUALIFICATIONS:

• Proficient with integrating Xenium and PhenoCycler-Fusion data.
• Proficient with integrating image-based data processing (e.g. QuPath CellProfiler).
• Knowledge of machine learning or network analysis for spatial data integration.
• Experience contributing to publications presentations or grant applications.

The annual base salary range for this position is from $80172 to $104250 and pay offered will be based on experience and qualifications.

This position is not eligible for H-1B sponsorship at this time.

Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health well-being and financial security. Benefits include medical/vision dental flexible spending accounts life disability retirement family life support employee assistance program onsite health clinic tuition reimbursement paid vacation (12-22 days per year) paid sick leave (12-25 days per year) paid holidays (13 days per year) and paid parental leave (up to 4 weeks).