You are viewing a preview of this job. Log in or register to view more details about this job.

Bioinformatics Analyst I/II

Fred Hutchinson Cancer Center is an independent, nonprofit, unified adult cancer care and research center that is clinically integrated with UW Medicine, a world leader in clinical care, research and learning. The first National Cancer Institute-designated cancer center in the Pacific Northwest, Fred Hutch’s global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy, and COVID-19 vaccines has confirmed our reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. Based in Seattle, 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 believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.
Bioinformatics Analyst I/II 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 position has a competitive salary with 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 disease monitoring. The research interests/projects and responsibilities in the Ha lab include:

  • Analysis of cancer genomes to understand tumor progression/evolution/heterogeneity, metastatic disease, non-coding genome alterations, copy number alterations, genome rearrangements and 3D structure, mutational signatures.
  • Partnering with Hutch scientists to refine computational research questions and design analytical processes that can be applied to these genomic datasets.
  • Identifying and implementing appropriate bioinformatic tools for analyzing sequence data from tumor genomes including long-range sequencing technologies (linked-reads, long-reads, optical mapping)
  • Development and use of computational approaches to analyze circulating tumor DNA from liquid biopsies.
  • Preparing figures and written sections to document methods and results for manuscripts, presentations, and grant applications. Contribute to manuscript preparation by
  • Interfacing with Ha lab and collaborators to validate results using functional experiments.
  • For examples of recent studies, see PMID:29909985PMID:29109393PMID:25060187doi:10.1101/2022.06.21.496879doi:10.1101/2021.08.31.21262867doi:10.1101/2022.01.09.475586
  • See the lab website for more details:  

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, epigenetics, single-cell omics.
  • Application of statistical modeling, algorithm design, artificial intelligence and machine learning to study cancer and genetics.
  • Analysis of large, complex genome, epigenome or transcriptome data.


Bioinformatics Analyst I Minimum Qualifications:
  • Bachelor’s degree in Computational Biology, Bioinformatics, Computer Science, Data Science, Statistics, Biostatistics, Biomedical Engineering, Computer/Electrical Engineering, Physics, or other related fields.
  • 1 year of cumulative experience in computation analysis of large sequence-based molecular data.
  • Ability to 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 analyzing genome sequencing data.

Bioinformatics Analyst II Minimum Qualifications:
  • Master’s degree in bioinformatics, computational biology, genetics, or related field with at least three years’ direct experience in computational analysis of large sequence-based molecular data sets.
  • Ability to 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 analyzing genome sequencing data.

  • Previous experience working with cancer datasets is considered a strong asset.
  • A background in cancer biology is considered a strong asset.
  • Experience with high performance computing environments or cloud computing environments is considered a strong asset.
  • Candidates who are skilled at implementation of analytical tools at scale and who enjoy driving projects are preferred.

Fred Hutch has a mandatory COVID-19 vaccine requirement, with exceptions only for approved medical or religious accommodations.
As a condition of employment, newly hired employees must provide proof of vaccination or initiate the accommodations process before their first day of employment.
statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

To apply, please submit your application with the following:
  • Cover letter describing your experience and/or research interests is required.
  • Curriculum vitae
  • Example of your code either as (1) an attachment or (2) link(s) to public repositories (e.g. GitHub)
  • Names and email addresses of three professional references

Our Commitment to Diversity

We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to our Employee Services Center at or by calling 206-667-4700.