Bioinformatics Analyst I/II

Fred Hutchinson Cancer Center • Seattle, WA

10d • $80,172 - $120,681 • Hybrid

About The Position

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world’s deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Kugel and Collisson laboratories are seeking a highly motivated Bioinformatician I/II interested in exploring pancreas and biliary cancer pathogenesis. This is a hybrid position. Candidate is required to be on-site three days a week.

Requirements

• Bioinformatics Analyst I: 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++).
• Bioinformatics Analyst II: 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).

Nice To Haves

• 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.

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.

Benefits

• Fred Hutchinson Cancer Center offers employees a comprehensive benefits package 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, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level