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.
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.
The Gottardo Lab at Fred Hutch is a research lab within the computational biology program focused on creating statistical methods and software tools to analyze high throughput biological data. Our team works in collaboration with bench scientists and clinicians we work to understand severe diseases such HIV, malaria, and cancer and ultimately help develop vaccines and/or a cure. As a team, we value collaborative efforts, continued learning, and passion for our work.
Currently, the Gottardo Lab is working fully remote through at least summer 2021. You can learn more about the lab and lab members at rglab.org
The Software Development Engineer (SDE) I/II will help develop, implement and optimize computational cytometry software tools and analytic pipelines for clinical and non-clinical flow and mass cytometry data sets, leveraging R and C++. We are building open source tools to enable analysis, integration, and sharing of large cytometry data sets in order to facilitating reproducible research. The candidate will work as part of a team to support data analysis and software development and international collaborations. The candidate is expected to adhere to good software development practices (e.g. design, unit tests, documentation, code review), and participate in regular team meetings.
Our Commitment to Diversity
As a lab, we value inclusion and a diversity of backgrounds and perspectives to inform and improve our work. Given these values, we strive to make our recruitment and promotion processes transparent, fair, and supportive. Therefore, we strongly encourage all individuals with interest in the position to apply.
Minimum Qualifications SDE I:
Minimum Qualifications SDE II:
A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and anti-racism in your career or that will be made through work at Fred Hutch is requested of all finalists.