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Gavin Ha

Associate Professor

Fred Hutch Cancer Center

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United States

Has open position

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Research Interests

Computational Biology

10%

Genomic

10%

Prenatal Diagnosis

10%

Medical Science

10%

Biology

10%

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Positions1

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Gavin Ha

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Fred Hutchinson Cancer Center

Postdoctoral Position in Computational Biology for Liquid Biopsies and Cancer Genomics

Fred Hutchinson Cancer Center, located in Seattle, Washington, is seeking a postdoctoral researcher in computational biology to join the lab of Associate Professor Gavin Ha. The position focuses on the study of liquid biopsies in prenatal health and cancer, with research areas including cancer genomics, prenatal diagnostics, and biomarker discovery. The successful candidate will work on cutting-edge projects involving the analysis of genomic data to advance understanding in these fields. The ideal applicant will have a PhD in computational biology, bioinformatics, genomics, computer science, or a related discipline. Experience in cancer genomics, prenatal diagnostics, or biomarker discovery is highly desirable. Strong programming and data analysis skills are essential, as is the ability to work collaboratively in a multidisciplinary team. The position is fully funded, with salary and benefits provided according to Fred Hutch institutional guidelines. Fred Hutchinson Cancer Center is a world-renowned research institution, offering a vibrant scientific community and access to state-of-the-art resources. The lab is particularly interested in candidates who are passionate about applying computational approaches to solve important problems in cancer and prenatal health. The application process is straightforward: interested candidates should apply directly through the Fred Hutch careers portal, submitting a CV and cover letter that highlights relevant experience and research interests. For more information about the lab and research focus, visit the supervisor's academic page or LinkedIn profile. This is an excellent opportunity for postdoctoral researchers looking to advance their careers in computational biology, genomics, and biomedical research.