Bioinformatician

Fred Hutchinson Cancer Center • Seattle, WA

11h

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 Bioinformatician provides specialized consulting and data analysis support to researchers at the Hutch and across the Fred Hutch/UW Cancer Consortium. This role serves a broad and diverse research community and requires strong communication skills, responsiveness, and the ability to manage multiple projects effectively in parallel. The Bioinformatician collaborates with faculty, postdoctoral fellows, and research staff on topics in biology, data science, and sound experimental design. This role supports projects ranging from early-stage consultation to data interpretation, for both new and established researchers, and partners with other Shared Resources to select appropriate technologies, maintain data quality, and guide users through the analysis process. Strong programming skills and experience developing reproducible workflows are essential for managing the complex, large‑scale datasets produced across these projects. At Fred Hutchinson Cancer Center, all employees are expected to demonstrate a commitment to our values of collaboration, compassion, determination, excellence, innovation, integrity, and respect.

Requirements

• Master’s degree in bioinformatics, computational biology, genetics, or related field.
• Minimum 3 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.
• 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

• Experience with spatial profiling platforms (Visium HD, Xenium, CosMx)
• Proficiency with workflow orchestration and scheduling software (e.g. Nextflow, WDL, Slurm).
• Experience with containerization systems such as Docker and Apptaoner/Singularity.
• Excellent written and verbal communication skills.

Responsibilities

• Analyze large sequence datasets from workflows including whole genome, exome capture, RNA-seq, single cell sequencing, CUT&RUN, ChIP-seq, ATAC-seq, and CRISPR screens.
• Support spatial profiling analysis (Visium HD, Xenium, CosMx) in collaboration with other Shared Resources.
• Consult with Hutch scientists to refine experimental design, develop analytical workflows and select appropriate bioinformatics tools.
• Advise researchers who are developing novel assays to design appropriate processing and analysis workflows.
• Review current literature to identify and adopt software and methodologies, making new analysis capabilities available to the Hutch community.
• Generate publications ready figures, methods sections, and results for manuscripts, presentations, and grant applications.
• Ensure data integrity, track metadata, standardize analysis pipelines and provide training to support users’ analysis and interpretation of results.

Benefits

• 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: Mid Level