Overview: The Cancer Early Detection Advanced Research (CEDAR) center is a collaborative institution within the OHSU Knight Cancer Institute. The Knight Cancer Institute, known as one of the pioneers in personalized cancer medicine, is an international leader in research and cancer treatment. At CEDAR our mission is to detect and stop lethal cancers at the earliest stage because early detection saves lives. This is an ambitious goal, one that requires novelty, creativity, and innovation. We are comprised of biologists, chemists, biomedical engineers, computationalists, and clinicians conducting groundbreaking translational cancer research to help people maintain a high quality of life and reduce cancer mortality, to create a global early detection community, and to have a positive impact on the Oregon economy.
Our Commitment to Diversity: CEDAR is committed to increasing the diversity of the campus community. We are dedicated to promoting inclusion and multiculturalism by having outstanding researchers of diverse backgrounds work together on multiple projects. We encourage high-risk, high-reward research projects because defeating cancer requires out-of-the-box thinking and new perspectives. Our research is milestone driven to ensure that each project is fulfilling its stated goals.
Every Knight Cancer employee is expected to embody our guiding principles:
Applications are invited for those experienced in data analytics, machine/deep learning, computer vision and computational modeling. CEDAR is a world leader in early cancer detection, research, and translation. Our mission is to enable early cancer detection and treatment through successful integration of biological understanding of early disease with the multiple technological approaches currently emerging from research laboratories. As a Computational Biologist you will be part of an interdisciplinary technical team, collaborating with cancer biologists, technologists, imaging specialists, computational biologists and data scientists. In this role you are responsible for data management, the design, development and maintenance of statistical and machine learning algorithms and softwares for data analysis, computer vision, and omics. Tasks include conducting cutting edge research, development and application of machine/deep learning, and computer vision techniques to cancer related data.
Duties include but are not limited to:
Algorithms/methodology development
Apply online. Please be sure to upload a Cover Letter and Resume/CV.
We offer a variety of benefits on top of joining a thriving organization:
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