Find & Apply For Clinical Research Coordinator Jobs In Spartanburg, South Carolina
Clinical Research Coordinator jobs in Spartanburg, South Carolina involve coordinating and overseeing clinical trials, managing data collection, and ensuring compliance with regulations. Responsibilities include recruiting participants, organizing study materials, and communicating with research teams. These positions require attention to detail, strong organizational skills, and a background in healthcare or science. Below you can find different Clinical Research Coordinator positions in Spartanburg, South Carolina.
Jobs in Spartanburg
Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.
Latest Jobs in Spartanburg
Salary Information & Job Trends In this Region
Clinical Research Coordinators in Spartanburg, South Carolina play a crucial role in managing and overseeing clinical research studies to ensure compliance with protocols and regulations. - Entry-level Clinical Research Coordinator salaries range from $30,000 to $40,000 per year - Mid-career Clinical Research Coordinator salaries range from $40,000 to $55,000 per year - Senior-level Clinical Research Coordinator salaries range from $55,000 to $75,000 per year The history of Clinical Research Coordinators in Spartanburg, South Carolina dates back to the establishment of research institutions and healthcare facilities in the region, where professionals were needed to facilitate and coordinate research studies. As the field of clinical research has evolved, Clinical Research Coordinators in Spartanburg, South Carolina have adapted to new technologies and methodologies to streamline processes, improve data collection, and enhance patient safety in clinical trials. Current trends in the field of Clinical Research Coordinators in Spartanburg, South Carolina include the incorporation of virtual trial capabilities, increased focus on diversity and inclusion in research studies, and the utilization of real-world data to inform clinical decision-making.
