135 parallel-and-distributed-computing-phd positions at Fred Hutchinson Cancer Center
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
to facilitate and operationalize complex scheduling requests through heavy use of multiple computer systems. Responsibilities Schedules all patient appointments related to treatment within the SCCA as
-
databases. Assists with the financial clearance process as necessary Distributes work to the Program Assistant and/or Patient Care Coordinator Assistant as appropriate Qualifications Required: High school
-
for appointments and checks them in using an automated scheduling system. Assembles and distributes appropriate paperwork to patients, families, caregivers and clinical staff. Triage questions and concerns from
-
cart with 400 lbs. load. Preferred: One (1) year supply chain experience or other relevant experience preferred. General knowledge of distribution and supply chain activities. Knowledge of and experience
-
focused on primary human samples derived from blood or tissues in individuals with characterized infection or tumor histories. Using a combination of bioinformatic and computational approaches, we will
-
. Qualifications MINIMUM QUALIFICATIONS: PhD with 6+ years of relevant experience. Proven performance in a comparable role. Experience in experimental and computational analyses of immune receptor repertoires
-
. Restocks supplies daily and rotates inventory supporting accurate inventory levels, generating requisitions as needed. Distributes medical supplies to patient care areas, while monitoring par levels
-
to understand cancer development and to develop new therapeutic strategies. The Fred Hutch/University of Washington Head and Neck Research Program- Fred Hutch and the University of Washington have a world-class
-
computational analysis, including algorithm development, will be integrated throughout the program. Managing collaborations with other research programs within and outside of the lab will be necessary