Position Summary
Reporting to the Directors and Managers of Human Resources and Faculty Affairs and working closely with Sr. Generalists/Generalists, the HR & FA Casual provides administrative support to the Basic Science Pod during peak volume. This role primarily supports multiple departments, hosting summer student programs, and helps provide vacation coverage for the team. The incumbent will also assist with the increased processing volume of Short-Term Visitors (STVs), Visiting Student Interns (VSIs), and high-volume fiscal year appointment/reappointment activities.
Responsibilities
Minimum Qualifications
Preferred Qualifications
Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.
| Title | Location | Department | Summary |
|---|---|---|---|
| Non-Student Short-Term Casual | Columbia University Medical Center | Reporting to the Directors and Managers of Human Resources and Faculty Affairs and working closely with Sr. Generalists/Generalists, the HR & FA Casual provides administrative support to the Basic Science Pod during peak volume. This role primarily supports multiple departments, hosting summer student programs, and helps provide vacation coverage for the team. The incumbent will also assist with the increased processing volume of Short-Term Visitors (STVs), Visiting Student Interns (VSIs), and high-volume fiscal year appointment/reappointment activities. | |
| Student Research Worker | Columbia University Medical Center | The School of Nursing is looking to hire one current Columbia University student to assist with grant funded projects focusing on the use of explainable AI approaches to understand the impacts of lifestyle factors on the health outcomes. | |
| Student Research Worker | Columbia University Medical Center | The School of Nursing is seeking a data science-focused student research worker to support AI and machine learning research in cardiovascular health informatics. The position involves working with both structured and unstructured electronic health records (EHR) data, applying advanced computational methods including machine learning and natural language processing under the direction of Dr. Kang’s federally funded research program |
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