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

Summary: Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. They are seeking a highly motivated Bioinformatician I/II interested in exploring pancreas and biliary cancer pathogenesis. 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, Computational analysis of large sequence-based molecular data sets, Germline variant calling, Somatic variant calling, Exome capture data analysis, Bulk RNA-seq data analysis, Multimodal single-cell profiling data analysis, Epigenetic profiling, Gene set enrichment analysis, Data integration across multiple modalities, Shell scripting, R programming, Python programming, Bioconductor packages, Data visualization, Spatial transcriptomics, Statistical analysis, Cancer immunotherapy research, Data pipeline development, Workflow management, Linux/Unix shell scripting, High-performance computing, Cloud 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)