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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. These values are grounded in and expressed through the principles of diversity, equity and inclusion. 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. Fred Hutch is in pursuit of becoming an anti-racist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, anti-racism and inclusion.

The Senior Bioinformatician will lead data analysis projects supporting genomic, transcriptomic, clinical and spatial applications, including creating and managing a data structure/warehouse for the Fong Lab and the Immunotherapy Integrated Research Center (IIRC). The position requires expertise with advanced workflows including spatial biology; single-cell analysis; epigenetic profiling; precision medicine; microbial and metagenomic analysis; and novel applications of third generation sequencing. The Senior Bioinformatician partners with faculty, post-doctoral fellows, and research staff to understand specific technical requirements, effectively communicate complex bioinformatics concepts to non-specialists, and deliver timely and tailored solutions. In addition, this position requires continual assessment of emerging techniques and analysis tools to leverage the most appropriate and up-to-date methods. The Senior Bioinformatician actively incorporates new techniques into workflows and mentors staff to expand the team's capabilities.

Responsibilities span experimental design, data analysis, integration of high-dimensional data from multiple assay types and providing text and figures to document results. The Senior Bioinformatician provides a consultative and collaborative environment for each stakeholder, with personalized support and suggestions tailored to the needs of each project. Acting as subject matter expert and mentoring other team members is vital to this position. The Senior Bioinformatician acts independently to maintain these relationships, prioritizes multiple simultaneous projects, possesses exceptional communication and organizational abilities, and supports stakeholders with updates and documentation.

Lead all phases of data analysis, integration, and reporting for multiple simultaneous investigator-initiated projects.
• Review emerging assays and computational techniques to keep the team current and to extend our capabilities into new areas.
• Delegate data analysis tasks to and provide mentoring for other members of the Bioinformatics team as appropriate.
• Integrate and harmonize diverse high-dimensional data sets (for example, multi-omic single-cell with spatial gene expression).
• Collaborate with researchers developing novel assays and analysis methods (for example, artificial intelligence, machine learning).
• Communicate and present results to stakeholders.
• Provide figures and written sections to document methods and results for manuscripts, presentations, and grant applications.
• Representing the team at poster sessions or other internal and external forums.
• Collaborate with colleagues in the Genomics Shared Resource and the Hutch Data Core to ensure the integrity and consistency of primary data, track experimental methods and metadata, define standardized analysis pipelines, and provide training and support as stakeholders analyze and interpret results.
• Train laboratory members and collaborators on analytic workflows.
• Upload and maintain datasets, workflows, and code (for example GEO, Github).

MINIMUM QUALIFICATIONS:

• MS or PhD in bioinformatics, computational biology, genetics, or related field, or equivalent combination of degree and experience.
• Minimum of 8 years professional experience including direct experience in analysis of large, complex sequence-based molecular data sets.
• Direct experience must include several of these assay types: whole exome sequencing, targeted amplicon sequencing, best-practice germline and somatic variant calling from exome capture data, bulk RNA-seq data with multiple contrasts, analysis of multimodal single-cell expression and immune repertoire profiling, gene set enrichment, and integration of data across multiple modalities (e.g., TCR-seq, ATAC-seq, and CRISPR/Cas9 knockout screens).
• Demonstrated expertise in integrative multi-omics analysis of these complex data types.
• Strong record of contribution to publications in peer-reviewed journals.
• Solid grounding in molecular biology, genetics, and statistical methods.
• Demonstrated fluency in R or Python 3 are essential.
• Proficiency with Linux/Unix shell scripting (e.g., bash).
• Facility with commonly used Bioconductor packages, ggplot, tidyverse etc.
• Ability to generate and customize common data visualizations (PCA plots, volcano plots, Circos plots, etc).
• Familiarity with workflow and scheduling software (e.g., Slurm).
• Excellent written and verbal communication skills.
• Exceptional organizational skills, including the ability to independently drive and prioritize multiple competing engagements with researchers that may span several months.

A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

The hourly pay range for this position is from $52.71 to $83.30 and pay offered will be based on experience and qualifications.

This position may be eligible for a sign on bonus.

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), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 6 months).