Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. Prepare studies for closeout and long-term records management. Data Management & Quality Assurance Collect, enter, review, and maintain research data with a high level of accuracy and integrity. Monitor
-
coordination, relationship management, data analysis, event planning, and administrative leadership in a fast-paced academic environment. Minimum Requirements Bachelor's degree or an equivalent
-
support office operations by maintaining records, managing calendars, coordinating facilities requests, assisting with onboarding activities, tracking supplies and purchases, and supporting data
-
Payroll, central HR offices, recruiters, and internal administrators to review and process payroll data, HR iForms, and recruitment-related workflows. Your work will directly support employee pay
-
patient populations Strong organizational skills with the ability to manage multiple, complex clinical trials simultaneously Experience using electronic health records (EHR), Electronic Data Capture (EDC
-
highlight progress, trends, and recommendations. Develop and maintain systems, databases, and documentation to support program operations and data management. Plan, prioritize, and coordinate work to meet
-
Position Description An Associate in Research position is available in the Interpretable Machine Learning Lab ( https://users.cs.duke.edu/~cynthia/home.html ) for a scientific developer to work in
-
. Familiarity with Electronic Data Capture (EDC) systems. Experience administering chemotherapy and providing patient education related to oncology treatments. Knowledge of Good Clinical Practice (GCP
-
collections. How to Apply Please submit a cover letter and a CV/resume through the Duke Careers portal: https://careers.duke.edu. Applications will be reviewed on a rolling basis. Please also include
-
not be limited to: Assessment of neutralizing antibody responses in various cell lines in support of pre-clinical and clinical HIV-1 and COVID-19 vaccine development. Data analysis with adherence to