Fred Hutch · 18 hours ago
Bioinformatics Analyst II
Seattle, WA
Full-time
Onsite
Mid Level
$38.69/hr - $58.02/hr
3+ years expFred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. The Bioinformatics Analyst II will provide specialized consulting and data analysis services to researchers, focusing on spatial and genomic data analysis to support research on donor cells in stem cell transplant recipients.
Hospital & Health Care
No H1B
Responsibilities
Process, analyze, and interpret spatial transcriptomics and spatial proteomics data focusing on the identification and characterization of rare donor derived cells
Develop and implement computational workflows for image alignment, cell segmentation, gene/protein quantification, clustering, and spatial domain detection
Compare the transcriptomics of donor derived cells to endogenous microglia to determine unique aspects of the donor derived cells and predict the capacity of the donor derived cell to functionally replace endogenous microglia
Develop methods to analyze the spatial data to determine the cellular neighborhood of the donor derived cells and how they influence adjacent cells
Collaborate with lab members and collaborators on study design, data interpretation, and presentation of results. A key aspect of the position is to help educate others in the group to facilitate future studies
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
Required
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)
Preferred
Familiarity with workflow and scheduling software (e.g. Slurm)
Excellent written and verbal communication skills are absolutely required
Benefits
Retirement savings plan
Employee assistance program
Paid sick leave (1 hour for every 30 hours worked)
Prorated paid holidays (up to 11 days per year)
Company
Fred Hutch
Fred Hutch is an independent, nonprofit organization that also serves as the cancer program for UW Medicine.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
David Browdy
Vice President and Chief Financial Officer
Niki Robinson
Vice President & Chief Operating Officer
Recent News
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