Pinnacle Research Institute (PRI) is actively seeking a experienced Clinical Research Coordinator/Data Research Coordinator to join our team. The Clinical Research Coordinator/Data Research Coordinator will be responsible for working with multiple Principal Investigators (PI) on sponsored research studies, initiate and maintain regulatory paperwork for each study to include IRBs and sponsor. Candidate will be expected to meet with study monitors and maintain all regulatory documents. Candidate will also administer informed consent forms for patients on drugs studies. Hours may fluctuate depending on clinic and procedure days, therefore, candidate must be flexible in hours.
Clinical Research Coordinators need to engage with research subjects, explain what is expected of them and understand their concerns, requiring excellent interpersonal and communicative skills.
Clinical Research Coordinator Responsibilities:
Overseeing the smooth running of clinical trials.
Collecting and analyzing data obtained from research.
Informing participants about study objectives.
Monitoring research participants to ensure adherence to study rules.
Adhering to research regulatory standards.
Adhering to ethical standards.
Maintaining detailed records of studies as per FDA guidelines, including things such as drug dispensation.
Liaising with laboratories regarding findings.
Participating in subject recruitment efforts.
Ensuring that the necessary supplies and equipment for a study are in stock and in working order.
Engaging with subjects and understanding their concerns.
Additional Salary Information: Salary measured by experience
About Pinnacle Research Institute
Pinnacle Research Institute (PRI) is an independent multi-specialty research site located in Fort Lauderdale, Florida. Our experienced coordinators and Investigators have participated in a wide range of clinical trials addressing various medical conditions. We have partnered with multiple practices within the community. As a preferred research center, we pride ourselves in generating quality data efficiently and effectively.