Staff Associate III

About the role

Description The Department of Neurology, Stroke Division, at Columbia University Irving Medical Center, is seeking a Full-Time Staff Associate I for an NIH-funded study. The responsibilities include assisting with the management of SHIFT trial data and facilitating communication between the team and patients. Qualifications A. Functional Knowledge - 20% - Demonstrate knowledge and understanding of the SHIFT protocol / Manual of Procedures - Maintain Columbia IRB protocol (i.e. modifications, renewals, annual reports, etc.) - Data management, focus groups and qualitative research B. Problem Solving - 30% - Identify, analyze, and solve problems; prioritize and rearrange tasks C. Decision Making/Autonomy - 30% - Coordinate and participate in SHIFT data management meetings and SHIFT investigator meetings. - Participate in biweekly patient review meetings, providing updates on recruitment, follow up visits, or adverse events. D. Technical Expertise - 10% - Proficiency in using in REDCap database (for data collection & management) - Proficiency in using Microsoft Office (i.e. Word, Excel, PowerPoint, Outlook) E. Communication - 10% - Act as interface and liaison with SHIFT team members (CHW, CSW, CN) including a local Community Based Organization, treating team members, study statisticians, administrators, primary caregivers, and other coordinators. Application Instructions Equal Employment Opportunity Statement. Columbia University is an Equal Opportunity Employer / Disability / Veteran Equal Employment Opportunity Statement Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training.  The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.