82 development-"https:"-"https:"-"https:"-"Univ" positions at Fred Hutchinson Cancer Center in United States
Sort by
Refine Your Search
-
. Responsibilities Partner with clinical trial staff, central regulatory operations team, and consortium study teams to communicate start-up process, milestones, and timeline goals. Identify research costs and develop
-
, the Pharmacokinetics Laboratory, and Lymphoma Genomics Laboratory and collaborates with investigators on developing new tests. Responsibilities include department operations and administration, coordination
-
and analytical approaches to the study of genomics and epigenetics of cancer. The specific focus for this position involves developing assays using ctDNA/cfDNA in cancer diagnostics and developing new
-
systems Conduct statistical analyses for observational and interventional studies using standard software (e.g., R, SAS, Stata) Collaborate with investigators to develop and implement analytic plans
-
the oversight of annual drug expenditures. The Pharmacy Operations Manager will also: develop, implement, and evaluate pharmacy services; resolve day-to-day practice issues at the inpatient hospital and Fred
-
. Responsibilities Collaborate with colleagues across Fred Hutch and joint oncology program to understand data needs, develop reporting and analytics, identify key insights, and present findings to a variety of
-
implementation of major experimental projects essential to the laboratory's scientific research goals. They have developed an extensive and specialized knowledge of the scientific principles, concepts and
-
changes Develops a plan of care based on patients' disease, symptoms, and response to treatment Educates patients, families, and caregivers on disease processes, treatment, side effects and symptom
-
. The days and shifts are variable Responsibilities Assesses physical, emotional, social, and spiritual needs and evaluates patients' adaptation to health changes Develops a plan of care based on patients
-
backend systems, and develop analytical methods for high-dimensional data--all while collaborating closely with researchers and clinicians to turn complex scientific questions into robust software and