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 Hutch’s 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 nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.
A postdoctoral 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 cancer and understanding the genetic and epigenetic basis driving cancer progression. Candidates who are excited about large/complex ‘omics’ data analysis and methods development for cancer research are encouraged to apply. The position has a duration of at least one year with a competitive salary and great benefits.
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
Analysis of linked-read whole genome sequencing data to uncover novel alterations driving metastatic prostate cancer
Analysis of cell-free DNA in plasma samples from patients under treatment
Development and analysis of sensitive approaches to detect tumor-derived DNA in cell-free DNA from patient blood plasma
The lab will work with collaborators to validate results using functional experiments
For examples of recent studies, see PMID:29909985, PMID:29109393, PMID:25060187
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
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 a PhD in one of these disciplines: Computational biology, bioinformatics, computer science, data science, statistics, computer/electrical engineering, physics, or other related fields
Applicants should have some of the following skills and experience:
Work well in team environments; strong communication/organization skills; detail-oriented
Strong programming experience (R, Python, Matlab, Java, C/C++, Perl or other languages for research)
Experience with high performance computing environments and cloud computing environments is a plus
Experience with analyzing sequencing data is considered a strong asset
Applicants must have a demonstrated publication track record.
A background in cancer biology (esp in prostate or breast cancer) is considered a strong asset.
To apply, please submit your application with the following:
a several paragraph statement of research interests
names and email addresses of three references
two representative publications or preprints (if available)
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