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Post-Doctoral Research Fellow, Cancer Genomics

Company Information

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.

Duties and Responsibilities

The successful candidate will have the opportunity to work on transformative and leading-edge research problems in prostate cancer research:

- Analysis of cancer genomes to understand tumor evolution, cell plasticity, metastatic disease, non-coding genome alterations, copy number alterations, genome rearrangements and chromatin organization.
- Development of novel computational algorithms for long-range (linked-reads or long-reads) whole genome sequencing of tumors.
- Development of novel approaches to detect and analyze circulating tumor DNA from cancer patients.
- Analysis of tumor microenvironment and heterogeneity using single-cell RNA sequencing.

Position Qualifications

Applicants must have a PhD or MD (or equivalent) with training 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 or all of the following skills and experience:

- Work well in team environments, have strong communication/organization skills and is detail-oriented
- Highly motivated individual who think independently but also enjoy working in a dynamic, collaborative, multidisciplinary team
- Strong programming experience (R, Python, Matlab, Java, C/C++, Perl or other languages for research)
- Experience with cancer genome data analysis is considered a strong asset
- A background in cancer biology (especially in prostate) is considered a strong asset.
- Experience with analyzing sequencing data is considered a strong asset
- Experience with high performance computing environments and cloud computing environments is a plus
- Applicants must have a demonstrated publication track record