Fred Hutchinson Cancer Research Center
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Staff Scientist, Computational Biology
at Fred Hutchinson Cancer Research Center
- Job ID
- Regular Full-Time
- Fred Hutchinson Cancer Research Center
- 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 and largest 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.
Work in an organization that aims to make the world a better place and is home to three Nobel Prize winners. Enjoy an awesome work-life balance with a strong dedication from management to a 40 hour work week, support for public transit / bike commuting, healthy eating options in the Hutch's cafes and an office across from the water in South Lake Union. Benefits include paid vacation, holidays, sick time, medical, dental and vision benefits as well as 403 (b) retirement plan.
The Gottardo Lab is a Research Lab within the Computational Biology program at the Fred Hutchinson Cancer Research Center. We develop statistical methods and computational tools for managing and analyzing high-throughput biological data including single-cell RNA-seq, flow-cytometry, CyTOF and CITE-seq, to name a few. We then utilize these tools, in collaboration with immunologists and clinicians, to analyze high-dimensional data from pre-clinical and clinical trials in an effort to accelerate the development of new cancer immunotherapies and vaccines. Our lab participates in large collaborative efforts funded by the NIH, Gates Foundation and the CZI including the Human Immunology Project Consortium, the Human Cell Atlas, the Cancer Immunotherapy Trial Network and the Collaboration for Aids Vaccine Discovery.
As a lab, we value inclusion and a diversity of backgrounds and perspectives to inform our work. We believe in supporting each other through mentorship and providing resources for professional development. Given these values, we strive to make our recruitment and promotion processes fair and transparent. Therefore, we strongly encourage all individuals with an interest in the position to apply. To learn more about our lab, go to rglab.org.
The Gottardo Lab is seeking a PhD level computational biologist to fill a Staff Scientist position to help support large collaborative projects in computational immunology with applications to cancer immunotherapy and vaccine development. The Staff Scientist will have the opportunity be involved in the development of cutting-edge technologies and associated tools for profiling immune responses in blood and tissues at a single-cell resolution and in the application of these tools in innovative pre-clinical and clinical studies. The incumbent will participate in multidisciplinary collaborations involving laboratory-based scientists (immunologists, cancer researchers), clinical investigators, biostatisticians, data scientists, programmers and computational biologists.
- Develop and optimize computational pipelines to enable the integration and management of large and complex data sets
- Develop well-documented, properly tested, open-source software for reproducible research
- Interpret results from computational and statistical analysis
- Assist with study design of pre-clinical and clinical trials
- Participate in the dissemination of research findings
- Co-author manuscripts for publication
- Assist supervision of team members in the Gottardo Lab (postdocs, junior computational biologists)
- Manage and set scientific priorities across projects
- PhD or equivalent degree in bioinformatics, computational biology, biostatistics, statistics, computer science, or a related field.
- Experience in analysis of next generation sequencing data
- Excellent programming skills (python, R, C/C++, Java) including best software development practices (e.g. design, unit tests, documentation, code review)
- Excellent interpersonal, oral and written communication skills
- Strong work ethic
- Ability to work in a team, and supervise junior team members
- Ability to manage multiple projects and to meet deadlines
- Understanding of immunology and/or immunotherapy
- Experience in single-cell analysis