Find & Apply For Researcher / Research Associate Jobs In Cabarrus, North Carolina
Researcher / Research Associate jobs in Cabarrus, North Carolina involve conducting research, analyzing data, and contributing to projects. Responsibilities may include literature reviews, data collection, and collaboration with team members. These roles require strong analytical skills, attention to detail, and the ability to work independently. Below you can find different Researcher / Research Associate positions in Cabarrus, North Carolina.
Jobs in Cabarrus
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.
Temporary Research Assistant
North Carolina State University
Cabarrus, NC
Research Associate, In Vitro
Crownbio
Cabarrus, NC
Research Associate, In Vivo
Crownbio
Cabarrus, NC
Postdoctoral Research Scholar – Kannapolis Research
North Carolina State University
Cabarrus, NC
Gastroenterologist – AH Gastro & Hep – Huntersville, NC
Atrium Health Floyd
Cabarrus, NC
Latest Jobs in Cabarrus
Salary Information & Job Trends In this Region
Researcher / Research Associate in Cabarrus, North Carolina play a crucial role in conducting research and analysis to support various projects and initiatives. - Entry-level Research Associate salaries range from $40,000 to $50,000 per year - Mid-career Researcher salaries range from $50,000 to $65,000 per year - Senior-level Research Analyst salaries range from $65,000 to $80,000 per year The history of research in Cabarrus, North Carolina dates back to the establishment of research institutions and organizations focused on various fields such as healthcare, education, and technology. Over the years, the role of a Researcher / Research Associate in Cabarrus, North Carolina has evolved to incorporate advanced technologies, data analysis techniques, and interdisciplinary collaboration to address complex research questions. Current trends in the field of research in Cabarrus, North Carolina include a growing emphasis on data-driven decision making, interdisciplinary research projects, and the integration of emerging technologies such as AI and machine learning in research methodologies.
