167 parallel-processing-bioinformatics positions at University of Kansas Medical Center in United States
Sort by
Refine Your Search
-
policies, and federal and State regulations. Support grant opportunities, facilitate proposal development, contribute to non-technical components of proposals, process proposals, develop budgets, support
-
to ensure continuity of daily operations, and a high regard for the safety and well-being of responders and the campus community. Job Description: Job Description Job Duties Outlines Receives, processes, and
-
to coordinate all aspects of clinical research. Job Description: Job Duties Outlined: Support academic and clinical research. Recruit, consent, and follow up with study participants. Process data collection
-
Description: Job Responsibilities Possess an in-depth knowledge of specimen collection, processing, and shipping requirements for protocols within the Clinical Trials Office. Accurately obtain, document
-
for compliance and accuracy of the evaluation tool in accordance with ACGME requirements. Responsible for coordinating evaluation review and delivery process of the residents and teaching faculty. Assist with
-
for the overall administration of educational programs in accordance with the simulation program and stakeholder institution accreditation standards. Experience with both the content and process features of all
-
-Weekly multi-state payroll information by entering payroll data to the Workday payroll system. This position processing payroll for Non-Resident Alien employees, as well as student employees. Responsible
-
the referral process to Part B and Part C and alert interdisciplinary team when student screenings or assessments show areas of concern. Utilize classroom and school data to improve teaching practice, provide a
-
. Identify, evaluate, and recommend improvements to streamline processes, enhance efficiency, and ensure effective workflows with adherence to quality standards. Mentor, train, and supervise staff, fostering
-
– Research Administration provides dedicated data science and engineering support to the Department of Surgery at the University of Kansas Medical Center. The role will focus on developing data pipelines