Fred Hutchinson Cancer Center

Compensation

Full Description

**Job Overview and Responsibilities** The Fong lab is seeking a highly qualified and motivated Bioinformatics Analyst to work in a collaborative environment leading research on the mechanisms of cancer immunotherapy response and resistance. The focus of our lab is to unravel the dynamic interactions governing the generation of anti-tumor immunity and apply this knowledge toward developing novel approaches for the study and treatment of cancer. We are searching for an analyst with an interest in developing pipelines for quality control and end-to-end analysis including data visualization of a variety of datasets. 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 including: - 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. • *Qualifications and Requirements** - 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). • *Pay and Benefits** $78,894 - $118,310 Fred Hutchinson Cancer Center offers employees a [comprehensive benefits package](https://extranet.fredhutch.org/en/u/benefits.html) 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, income-based child care subsidy, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence of a qualifying reason), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).