Overview

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 Chief Data Officer of the Fred Hutchinson Cancer Center, Jeff Leek, established the Fred Hutch Data Science Lab (DaSL), which aims to develop and support the overall data strategy for the organization. The mission of the DaSL to ensure an effective data ecosystem at Fred Hutch by developing a modern, well documented, well implemented, overall data strategy. This should serve the needs and capabilities of those leveraging data at Fred Hutch regardless of "where they live" from the clinic to the research groups. We believe focusing on people is critical in building a strong, dynamic community united around using data to improve human health and cancer care. To do this, we aim to build a diverse, hybrid team that is inclusive, open, collaborative, and supportive both within our team and with our collaborators (find more about our values and culture). We are strong advocates for open science and reproducible research, thus develop our work in the open as much as possible. We rely heavily on written communication and continuous collaboration in order to support our hybrid team, as well as make our work as accessible as scalably and sustainably as possible by Fred Hutch staff.

The Data Scientist II will support the research informatics ecosystem of Fred Hutch by developing and maintaining computational tools and resources to better facilitate and advance bioinformatic research across the Fred Hutch community. This position will participate in multiple translational research collaborations involving a range of genomic, imaging, and other laboratory-generated data types. Contribute bioinformatics and technical expertise through sustainable coding/data management practices to provide achievable and reproducible analyses and galvanize best practices throughout Fred Hutch.

Responsibilities

• Work with collaborators and their staff to create automated processing, filtering, and organization of genomic data sets and assist in managing this to support reporting processes.
• Develop and document reproducible approaches to data curation, bioinformatic processing, quality assessment, and communication of results to collaborators.
• Create and share reproducible bioinformatic analysis pipelines for use by the translational research community via GitHub and OCDO-supported programs.
• Process large sequencing datasets derived from high-throughput short-read sequencing including exome sequencing, targeted DNA sequencing panels, bulk RNA sequencing, single cell RNA sequencing (10x Genomics), and emerging single cell analysis approaches using curated bioinformatics workflows.
• Create and maintain useful portals and interactive data visualizations for viewing bioinformatic data.
• Provide figures and written sections to document methods and results for manuscripts, presentations, technical documentation, and grant applications.

Qualifications

MINIMUM QUALIFICATIONS:

• BA., B.S. in computational biology, biostatistics, computer science, data science, biophysics, bioinformatics, or a related field.
• Minimum 5 years of experience in data science, bioinformatics, or related disciplines.
  • Graduate degrees can apply towards this minimum (M.A./M.S. = 2 years, PhD = 4+ years)

PREFERRED QUALIFICATIONS:

• Graduate degree in computational biology, biostatistics, computer science, data science, biophysics, bioinformatics, or a related field.
• Experience with data governance processes for working with regulated data.
• Direct experience with best-practice germline & somatic variant calling from exome capture data, analysis of bulk RNA-seq data with multiple contrasts, and analysis of multimodal single-cell profiling data.
• Proficiency in Python and/or R programming, with knowledge of the appropriate tools and libraries for working with biological data.
• Well-versed in the standard library of open-source bioinformatics tools (e.g. GATK, samtools, bwa, etc).
• Familiarity with scientific workflow languages (Nextflow, WDL, etc.) and high-performance computing/cloud-based computing resources (e.g. Slurm, AWS).
• Familiarity with the use of version control software (Git) and open-source programming norms (e.g. version control, unit testing, continuous integration) in a collaborative setting.
• Exposure to the creation, use, and maintenance of Docker containers.
• Excellent written and verbal communication skills.

The annual base salary range for this position is from $102,419 to $161,866, and pay offered will be based on experience and qualifications.

This position may be eligible for a sign-on bonus.

This position may be eligible for relocation assistance.

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).

Additional Information