Fred Hutch · 14 hours ago
Bioinformatics Analyst I/II
Fred Hutchinson Cancer Center is an independent, nonprofit organization focused on cancer treatment and research. The Bioinformatics Analyst I/II will perform specialized data analysis and build custom data pipelines for quality control and end-to-end analysis of large datasets related to cancer immunotherapy response and resistance.
Hospital & Health Care
Responsibilities
Implement, apply, and evaluate tools to process, integrate, batch-correct and visualize genomics datasets (single-cell RNA-seq, Bulk RNA-seq, CITE-seq), multiparametric flow cytometry datasets, multiplexed cytokine/protein datasets
Interpret the data and explain the results in research discussions with experimental collaborators
Perform quality control and end-to-end analysis of large sequence datasets from diverse workflows
Identify best-practice bioinformatics tools and strategies to meet the needs of proposed projects
Provide figures and written sections describing methods and results for manuscripts, presentations, and grant applications
Ensure integrity and consistency of primary data, track experimental methods and metadata, define standardized analysis pipelines
Ability to learn new tools and content quickly and independently (although training will be given for specific types of analysis performed in the lab)
Other duties as assigned
Qualification
Required
BS degree in Biology, Statistics, Computer Science or equivalent education
0-2 years of work experience with bioinformatics in the relevant scientific domain
Proficiency in, at least, one modern scripting or programming language (Python, R, Node, or C++)
Bachelor's degree in bioinformatics, computational biology, genetics, or related field with at least three years' direct experience in computational analysis of large sequence-based molecular data sets
Direct experience must include best-practice germline & somatic variant calling from exome capture data, analysis of bulk RNA-seq data with multiple contrasts, analysis of multimodal single-cell profiling data, epigenetic profiling, gene set enrichment, and integration of data across multiple modalities (e.g., epigenetic profiling and RNA-seq)
Effective use of shell scripting and significant fluency in R and Python 3 are essential
Facility with commonly used Bioconductor packages, ggplot, tidyverse etc
Ability to generate and customize common data visualizations (PCA plots, volcano plots, Circos plots, etc)
Ability to learn new tools and content quickly and independently (although training will be given for specific types of analysis performed in the lab)
Preferred
Spatial transcriptomic knowledge or experience, preferably 10x Xenium
Experience with R and statistical analysis
Knowledge of bulk and single cell RNA-seq datasets and analysis methods
Familiarity with cancer immunotherapy research or related biological domains
Experience with data pipeline development and workflow management
Proficiency with Linux/Unix shell scripting (e.g., bash)
Familiarity with cloud servers or high-performance computing resources
Ability to generate and customize visualizations
Strong organizational skills, including the ability to manage and prioritize multiple competing tasks
Good communication skills and an interest in learning
Ability to work independently and in a team
Scientific curiosity
Benefits
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)
Paid parental leave (up to 4 weeks)
Company
Fred Hutch
Fred Hutch is an independent, nonprofit organization that also serves as the cancer program for UW Medicine.
Funding
Current Stage
Late StageLeadership Team
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2025-08-27
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