Bioinformatics Analyst I/II at Fred Hutch in Seattle, WA

Summary: Fred Hutchinson Cancer Center is an independent, nonprofit organization focused on cancer and infectious diseases. They are seeking a highly motivated Bioinformatician I/II to analyze various data types to understand pathogenic mechanisms underlying pancreatic cancer and cholangiocarcinoma. Responsibilities: - Successful candidates will analyze RNA-seq, CUT&RUN, CUT&Tag, Proteomics, Spatial transcriptomics and scRNA-seq to understand fundamental pathogenic mechanisms underlying pancreatic cancer and cholangiocarcinoma Required Qualifications: - 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) Preferred Qualifications: - 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 Required Skills: Bioinformatics, Python programming, R programming, Shell scripting, Germline, somatic variant calling, Bulk RNA-seq data analysis, Single-cell RNA-seq data analysis, Epigenetic profiling, Gene set enrichment analysis, Data integration across multiple modalities, Bioconductor packages, Data visualization, Spatial transcriptomics, Statistical analysis, Cancer immunotherapy research, Data pipeline development, Workflow management, Linux/Unix environment, High-performance computing, Scientific curiosity, work in a team 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)