Post-Doctoral Research Fellow

Fred Hutchinson Cancer Center • Seattle, WA

2d • $80,172 - $95,014

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 JSB Lab is seeking a highly motivated Post-Doctoral Research Fellow with a background in statistics,biostatistics, bioinformatics, genomics, or related fields to work closely with Dr. Li on cutting-edge research in single-cell and spatial omics data analysis. Aligned with the lab’s focus on enhancing analytical rigor and translating statistical innovation into biological insight, the fellow will contribute to projects such as developing novel statistical methods for analyzing temporal and spatial gene expression dynamics at the single-cell level, evaluating and benchmarking computational tools for single-cell and spatial omics research, and creating statistical approaches for quantifying isoforms using long-read sequencing data. The successful applicant will work in a multidisciplinary research team supported by an advanced data management and computational infrastructure to perform data analyses, develop and/or implement novel statistical methodology, and publish research results. The incumbent will have ample opportunity to publish first-author papers and present at national meetings. The environment at Fred Hutch is lively yet casual, with a strong emphasis on innovative and collaborative work. Fred Hutch is housed in a lovely campus next to Lake Union a short walk from downtown, and a convenient shuttle from the University of Washington.

Requirements

• Applicants should have a Ph.D. in statistics, biostatistics, bioinformatics (or related fields).
• Strong skills in applied statistical methods development, data analysis, and computation.
• The position requires a highly motivated individual with excellent written and verbal communication skills, strong creative and critical thinking abilities, and a willingness to engage in collaborative and interdisciplinary research.

Responsibilities

• perform data analyses
• develop and/or implement novel statistical methodology
• publish research results
• developing novel statistical methods for analyzing temporal and spatial gene expression dynamics at the single-cell level
• evaluating and benchmarking computational tools for single-cell and spatial omics research
• creating statistical approaches for quantifying isoforms using long-read sequencing data

Benefits

• medical/vision
• dental
• flexible spending accounts
• life
• disability
• retirement
• family life support
• employee assistance program
• onsite health clinic
• income-based child care subsidy
• tuition reimbursement
• paid vacation (22 days per year)
• paid sick leave (up to 30 calendar days per occurrence of a qualifying reason)
• paid holidays (13 days per year)
• paid parental leave (up to 4 weeks)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees