Job ID 12620
Type Regular Full-Time
Company Fred Hutchinson Cancer Research Center
Category Biostatistics, Bioinformatics and Computational Biology
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.
Biostatistics, Bioinformatics and Epidemiology (BBE) at Fred Hutch is seeking a Full-Stack Developer in the Bedford Lab at the Fred Hutch to work on an open-source genomic epidemiology research platform enabling a large-scale study of respiratory illness in Seattle.
In collaboration with groups at the Fred Hutch, the University of Washington, Seattle Children’s, the Institute for Disease Modeling, and area hospitals, we’re embarking on a high-resolution, multi-year study of influenza and other respiratory illnesses in Seattle. Through the study thousands of influenza and other respiratory pathogens will be sampled and sequenced in near-real time and from these viral genome sequences, transmission dynamics uncovered. The primary task of this position will be to develop the information and analysis systems underlying the study’s research aims, with potential expansion to new studies around the world in the future. This new platform will build upon the software behind Nextstrain, an award-winning tool for tracking infectious disease epidemics developed in collaboration with the Neher lab at the University of Basel. Nextstrain won the Open Science Prize in Feb 2017 and has already been instrumental in analysis of Ebola spread in West Africa, Zika spread in the Americas and is used by the World Health Organization to aid in the process of influenza vaccine strain selection.
The envisioned software platform will ingest subject and sample metadata, lab assay results, and raw and processed genome data as well as provide access to this curated data to streamline downstream analysis. This platform will be open-source, adaptable, and designed with future outbreak surveillance in mind, regardless of if the targeted pathogen is viral, bacterial, or eukaryotic in nature. On top of this data warehousing platform, we will deploy analytic pipelines that align sequences, build phylogenies and reconstruct city-scale transmission chains.
Bachelor’s degree in Computer Science or related field required. The ideal candidate for the full-stack developer position would have expertise in web development, relational database systems, cloud infrastructure, and software engineering best practices. Experience working with genomic data or in systems integration is a plus but not a requirement.
The position is available immediately with flexible starting dates. Informal inquiries are welcome. Applications will be accepted until the position is filled. The Fred Hutch and the Bedford lab are committed to improving diversity in the computational sciences. Depending on the applicant, this position could be a full-time salaried employee, a part-time employee, or a contracted consultant. For more information about the lab, please see our website at **********.
Our Commitment to Diversity
We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We are proud to be an Equal Opportunity and VEVRAA Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital or veteran status, 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 ************.
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