Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutchs pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nations first cancer prevention research program, as well as the clinical coordinating center of the Womens Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here
A Computational Biologist/Bioinformatics Analyst position in the laboratory of Dr. Gavin Ha and the Computational Biology Program is available immediately. We are seeking a highly motivated individual who is interested in studying the genetics and epigenetics of cancer using computational approaches. Candidates who are excited about large/complex omics data analysis and cancer research are encouraged to apply.
The Ha lab is establishing a research program that uses new DNA sequencing technologies to study cancer genomes. The lab is also focused on research involving liquid biopsies, such as cell-free DNA, and developing new computational approaches to leverage these data for genome discovery and cancer burden monitoring. The research interests/projects in the Ha lab include:
Analysis of cancer genomes to understand tumor progression/evolution, metastatic disease, non-coding genome alterations, copy number alterations, genome rearrangements and 3D structure, mutational signatures
Development of novel computational algorithms for long-range (linked-reads or long-reads) whole genome sequencing of tumors
Development and analysis of sensitive approaches to detect tumor-derived DNA in cell-free DNA from patient blood plasma
Analysis of tumor microenvironment and heterogeneity using single-cell RNA sequencing
The lab works with collaborators to validate results using functional experiments
Candidates with strong interest and/or expertise in any of these research areas are highly encouraged to apply
Cancer genomics, liquid biopsies, tumor evolution/heterogeneity, single-cell transcriptomics
Application of statistical modeling, algorithm design, artificial intelligence to study cancer and genetics
Analysis of large, complex genome, epigenome or transcriptome data
Applicants must have at least a Bachelors degree in one of these disciplines:
Computational biology, bioinformatics, computer science, data science, statistics, biostatistics, biomedical engineering, computer/electrical engineering, physics, biochemistry, or other related fields
Applicants should have some of the following skills and experience:
Work well in team environments; strong communication skills; detail-oriented
Strong programming experience (R, Python, Matlab, Java, C/C++, Perl or other languages for research)
Experience with high performance computing environments or cloud computing environments is a plus
Experience with analyzing sequencing data is considered a strong asset
A background in cancer biology is considered a strong asset.
Submission of a targeted cover letter is strongly recommended.
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At Fred Hutchinson Cancer Research Center, teams of world-renowned scientists and humanitarians work together to prevent, diagnose and treat cancer, HIV/AIDS and other diseases. Researchers are discovering new ways to detect cancers earlier, improve treatments, and learn how to prevent cancers from growing. Although Fred Hutchinson opened its doors in 1975, its history began about 20 years before that. In 1962 Fred Hutchinson envisioned a center devoted to studying cancer, a disease that took his brother’s life. Today Fred Hutchinson is contributing to the next waves of breakthrough treatments and prevention strategies. Fred Hutchinson collaborates with the Seattle Cancer Alliance, the National Cancer Institute, and the University of Washington.