Location: Gainesville, FL
Cap-Exempt H-1B Position — No lottery required
**JOB NO:** 540012 **WORK TYPE:** Post Doc Associate **LOCATION:** Main Campus (Gainesville, FL) **CATEGORIES:** Grant or Research Administration, Physical/Mathematical Sciences **DEPARTMENT:** 32050000 - PH-PHARM OUTCOMES & POLICY **CLASSIFICATION TITLE:** Postdoctoral Associate **CLASSIFICATION MINIMUM REQUIREMENTS:** The appointee shall have received the doctorate in a field appropriate to the assigned duties and responsibilities. **JOB DESCRIPTION:** The Department of Pharmaceutical Outcomes & Policy (POP) at the University of Florida seeks candidates for a post-doctoral position in pharmaceutical outcomes. We seek candidates with a Ph.D. in Health Outcomes, Pharmacoeconomics, Pharmacoepidemiology, Health Services Research, or Epidemiology with a focus on health outcomes, and equipped with a passion for advancing healthcare research and a commitment to excellence. This position provides a unique opportunity for professional growth and mentorship in a vibrant academic environment. The successful candidate will train and work directly under the mentorship and supervision of UF College of Pharmacy, Professor, Dr. Haesuk Park. Dr. Park is an experienced and award recognized mentor. The successful candidate will join our large group of trainees in the POP department at the University of Florida, the flagship academic research institution of the State of Florida. POP is housed on the UF Health Science Campus in Gainesville, forming with all health colleges and UF Health Shands Hospital, the largest academic health center in the Southeast. As a postdoc in pharmaceutical outcomes, you will have the unique opportunity to train under the expert mentorship of Dr. Haesuk Park, an esteemed Professor and renowned mentor in the field. You will become a valued member of our dynamic and collaborative research community within the POP department at the University of Florida. The candidate’s primary responsibilities will include conducting literature reviews, analyzing large healt