Job Description
The Lead Patient Service Representative functions as an administrative team lead for the office. This position supports the physician and nursing staff in the delivery of health care by performing a range of administrative related tasks to maintain a smooth and efficient front office workflow. This position also assists with providing a review of Patient Service Representative administrative skills, assessing the workflow of administrative staff and monitoring staff/scheduling coverage.
Duties and Responsibilities:
Qualifications
Education:
High school diploma/GED preferred.
Experience:
Five (5) years of Patient Service Representative or Medical Assistant experience in an outpatient medical office setting required.
| Location | Pasadena, CA |
| Industry | Other/Not Classified |
| Company Size | 10,000 employees or more |
| Website | http://www.cedars-sinai.org |
Cedars Sinai is one of the largest nonprofit academic medical centers in the United States, and it is the largest private academic medical center in the Western United States. The Cedars Sinai main campus, which encompasses nearly 24 acres, is located at the point where the cities of Los Angeles, Beverly Hills, and West Hollywood meet. Cedars Sinai has been recognized annually by U.S. News & World Report’s top 10 best hospitals in the U.S. The institution most recently placed No. 7 among a select group of 20 Honor Roll hospitals and ranked nationally in a dozen specialties. In addition, Cedars Sinai ranked No. 3 in California and No. 2 in the Los Angeles metro area.
Within Cedars Sinai, the Institute for Research on Health Aging conducts multi-disciplinary research that prioritizes the prevention of cardiovascular disease, neurocognitive disease, and cancer. Our focus is on translating new research discoveries into pragmatic interventions aimed at promoting healthy aging across diverse populations. Our approach involves human physiology, cohort, and clinical trial studies and our team includes established experts in population, clinical, translational, basic, and data science.