37 information-technology "https:" "https:" "https:" "https:" research jobs at Columbia University
Sort by
Refine Your Search
-
disciplines. For more information about CPMG, visit: https://columbiamedicine.org/cpmg/team.php. Responsibilities Conduct literature reviews relevant to ongoing research studies. Perform qualitative and
-
disciplines. For more information about CPMG, visit: https://columbiamedicine.org/cpmg/team.php. Responsibilities Conduct literature reviews relevant to ongoing research studies. Perform qualitative and
-
support Environmental Health & Safety’s (EH&S) internal and external technology applications, ensuring that the highest level of service is provided to the Columbia University research community. The
-
, restrictive data use agreements, etc.) to appropriate resources. Minimum Qualifications Bachelor's degree in computer science, information technology, or a related field (or equivalent experience). 4 years
-
. Responsibilities Clinical Coordination Screen participants for study eligibility and enroll them accurately in various databases. Utilize information from EMR, databases, CTMS, and EDC. Understand and
-
patient information. Collaborating with ancillary sites involved with the research and interface with various hospital departments, such as medical records, radiology, nursing, information technology
-
. Responsibilities Clinical Coordination Screen participants for study eligibility and enroll them accurately in various databases. Utilize information from EMR, databases, CTMS, and EDC. Understand and execute
-
of the research study and diagnostic procedures Completion of patient follow-up, as appropriate Collection of pertinent information and data from subject charts and records, subject interviews, and
-
slice technology, live-tissue confocal microscopy, protein purification, liposome preparation, flow cytometry, and core molecular biology methods such as PCR, Western blotting, and ELISA. The
-
, application, or technology development projects. Proficiency in Python, R, SAS, or similar programming languages for research design, data processing, and analysis. Strong organizational, communication, and