Farah Dar joined the firm in June 2019 to provide strategic and operational support to the workforce development programs, COPE Health Scholars, while working to reach the company’s long-term goals and maintain organizational vision. As Coordinator for COPE Health Scholars, Ms. Dar works closely with the Management team to create effective proposals and deliverables for clients. She has supported with the preparation for over 10 client meetings and delivers high-quality client pitches. Ms. Dar also plays a leading role in numerous internal projects. She guides Program Managers through orientation, develops resources to facilitate smooth onboarding transitions, and creates strategies to verify staff competencies. She took lead with the robust relaunch of the educational series, an array of webinars providing professional development techniques to over 5,000 program participants, and continues to drive its expansion. Ms. Dar has also effectively designed and implemented tools and templates for the workforce development programs, enhancing student engagement and satisfaction.
Prior to joining COPE Health Solutions, Ms. Dar participated in the Health Scholar program at Kaiser Permanente South Bay for one year. As a Health Scholar, she rotated through a variety of clinical departments and achieved recognition for her dedication and attentiveness to the medical staff. In 2018, she joined the Leadership Team as a Department Coordinator for two departments simultaneously. Ms. Dar later transitioned into Executive Team as an Assistant Director of Departments. As an Executive Leader, Ms. Dar oversaw program operations in several departments, implemented process improvement projects, developed and improved communication systems and provided support for sites in her region.
Ms. Dar completed her undergraduate education at California State University, Long Beach. While completing her Bachelor of Science in Molecular Cell Biology and a minor in Chemistry, she participated in Bioinformatics Research, where she utilized statistical data analyses to identify multiple protein sequence domains in databases.