Graduate Research Assistant

Graduate Research Assistant

Job ID


31367

Type


Regular Full-Time

Location

US-WA-Seattle

Category


Biostatistics, Bioinformatics and Computational Biology

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 Bloom lab in the Basic Sciences Division and Computational Biology program has an opening for a Graduate Research Assistant in computational biology. The Graduate Research Assistant will write computer code to analyze viral deep sequencing data, and analyze the results.

Responsibilities

Write well organized computational pipelines to analyzing deep sequencing data.
• Analyze data to examine viral mutations both at the fixed and intrahost levels.
• Interpret data in the context of the broader scientific literature and knowledge.

Qualifications

MINIMUM QUALIFICATIONS:

• Student should be currently enrolled in a Masters program in computer science or similar program
• At least one year of prior experience as a software engineer.
• Recent experience with snakemake and tools for analyzing viral deep sequencing data.

To be considered for this role, please submit a CV detailing how your background satisfies the qualifications listed above when submitting an application. The hourly pay range for this position is from $21.30 to $48.09 and pay offered will be based on experience and qualifications.

Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.

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).

Additional Information

We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at View email address on click.appcast.io or by calling View phone number on click.appcast.io.