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.
Matsen Lab EnvironmentThe environment in the Matsen group is lively yet casual, with a strong emphasis on collaborative work between postdocs, PhD students, interns, and programmers.
The Center is housed in a lovely campus on Lake Union a short walk from downtown, and a slightly longer walk from the University of Washington. The Matsen group is in the newly-remodeled Steam Plant building overlooking the lake. We believe that science is for everyone. We have had researchers with a variety of backgrounds, including Latinx, Black, Asian, and Middle Eastern. We have had women, men, gay, and straight, and we welcome people of all sexual orientations and gender identities. We have had successful high schoolers, postdocs, people who were the first in their family to attend college, and one who had decided that college wasn't for them. We have had researchers with backgrounds in biology, physics, statistics, math, and computer science.
We acknowledge the historical and present barriers for underrepresented groups, and work to increase diversity, equity and inclusion in computational biology. Members of underrepresented groups are especially encouraged to apply.
Please read our expectations of group members. By applying for this position, we expect that you will fulfill these expectations. We enthusiastically solicit feedback on these expectations or requests for clarification.
During the next few years we expect SARS-CoV-2 to continue its transformation into an endemic virus, as vaccines mitigate but do not eliminate its circulation. In many ways we expect SARS-CoV-2 to become analogous to flu, where yearly vaccinations are designed to be as effective as possible against the most important circulating strains. However, because of the time required to manufacture and then administer the vaccine, we must decide months ahead of time what the most important strains are to include.
The purpose of this position is to develop algorithms to forecast the dominant viral variants given a diverse collection of densely sampled data. In addition to epidemiological data, we will have experimentally-derived estimates of the phenotype of large pools of spike variants, both in terms of their function and their ability to escape antibody-mediated immune pressure. Using machine-learning techniques we will predict the fitness of additional combinations of mutations alongside experimentally inferred phenotypes, and use these predictions as part of our overall system to predict the long-term trajectory of viral variants. This will be a close collaboration with the Bedford and Bloom labs.
We are seeking a postdoc to develop predictive algorithms and help bring them into production on nextstrain.org. This includes:
Reading relevant literature to understand the current state of the art.
Develop new models integrating diverse data types.
Developing benchmarks and working together with staff to evaluate algorithms on those benchmarks.
Working with the Bedford lab to put a prediction system into production.
Collaborating with trainees and staff from three labs.
Contributing to writing papers and software testing.
This position will be housed in the Matsen lab; see our website for more information about what we do.
The successful applicant will have a PhD in statistics, mathematics, computer science, or another relevant discipline, and will have a successful track record of independent research.
Creative and thoughtful
Solid in their mathematics/statistics background
A capable computer programmer
Familiar with modern Python-based tooling in machine-learning
A careful writer and diligent editor
Excited to contribute to an important goal
APPLICATION INSTRUCTIONS:If you are interested in this position, please submit the following materials:
A CV summarizing your education and work experience so far.
The names and email addresses of two references.
Two publications featuring your work.
A code sample representing code that you are proud of. This doesn't have to be long or especially fancy, but should be clean and do something non-trivial. Ideally this would be present as a commit to a code repository such as GitHub, but emailed code is fine as well.
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.
A 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.
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 firstname.lastname@example.org or by calling 206-667-4700.
At Fred Hutchinson Cancer Research Center, teams of world-renowned scientists and humanitarians work together to prevent, diagnose and treat cancer, HIV/AIDS and other diseases. Researchers are discovering new ways to detect cancers earlier, improve treatments, and learn how to prevent cancers from growing. Although Fred Hutchinson opened its doors in 1975, its history began about 20 years before that. In 1962 Fred Hutchinson envisioned a center devoted to studying cancer, a disease that took his brother’s life. Today Fred Hutchinson is contributing to the next waves of breakthrough treatments and prevention strategies. Fred Hutchinson collaborates with the Seattle Cancer Alliance, the National Cancer Institute, and the University of Washington.