114 parallel-computing-numerical-methods-"Simons-Foundation" uni jobs at Fred Hutchinson Cancer Center
Sort by
Refine Your Search
-
stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch's Philanthropy program raises funds for cancer and related disease research, care, and
-
Computational Sciences to lead a program in immune repertoire profiling, decoding, and analysis. The individual will manage multiple individuals at various ranks, providing support a) sample selection and study
-
mission-driven Program Manager to operate and expand the Fred Hutch/University of Washington (UW) Medicine Population Health Colorectal Cancer (CRC) Screening Program. Led by Dr. Rachel Issaka, the CRC
-
stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Program Director, Project Management & Planning, is a member of the Data Philanthropy program
-
stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Provider Informatics Specialist II is responsible for promoting the understanding
-
coordinate with clinic implementation staff. Collaborate with cancer consortium parallel offices and clinic partners to ensure all institutional pre-activation requirements are met. Partner with study startup
-
methods and results for manuscripts, presentations, and grant applications. Ensure integrity and consistency of primary data, track experimental methods and metadata, define standardized analysis pipelines
-
methods and results for manuscripts, presentations, and grant applications. Ensure integrity and consistency of primary data, track experimental methods and metadata, define standardized analysis pipelines
-
to work on research projects. Work will include analysis of human samples from numerous infection and oncology cohorts. Cellular and molecular techniques will be integrated for high resolution
-
patient outcomes. Collaborating with clinicians and statisticians to formulate hypotheses and design the appropriate statistical models to interpret data. Use computational tools (R, Python, SAS