Clinical Research Assistant
23 days ago
North Las Vegas
Job Description Position Summary We are seeking a highly motivated Clinical Research Assistant to support the day-to-day operations of ongoing clinical trials. This is an excellent opportunity to join a mission-driven team focused on advancing new therapies through rigorous and ethical clinical research. The ideal candidate will bring scientific curiosity, strong organizational skills, and a commitment to quality and compliance. This individual will also be responsible for scheduling and rescheduling appointments, patient recruitment (including managing incoming calls), printing source visit documents, and performing related administrative tasks. A minimum of two years of research assistant experience is required to effectively complement and support the existing team. This is a priority hire. Key Responsibilities * Assist in the design, planning, and execution of clinical trials in accordance with study protocols. * Collect, analyze, and interpret data from experiments and clinical studies with accuracy and attention to detail. * Maintain comprehensive and accurate research records, logs, and documentation. * Collaborate with research coordinators and investigators in preparing reports, charts, and presentations. * Support laboratory tasks, including tissue and cell culture, assays, and sample handling. * Ensure compliance with FDA regulations, GCP guidelines, and institutional SOPs. * Prepare study-related materials and coordinate subject visits as needed. * Manage appointment scheduling, patient recruitment efforts, incoming patient calls, and administrative tasks. Required Qualifications * Bachelor’s degree in Biology, Life Sciences, Biochemistry, or related field. * Minimum two years of experience as a Research Assistant (required). * Prior experience in clinical trials, biomedical research, or laboratory work (preferred). * Strong understanding of molecular biology and cell biology principles. * Familiarity with FDA regulations and ICH-GCP guidelines. * Proficiency in Microsoft Office; experience with data analysis software (SAS, R, Python) is a plus. * Excellent communication, time management, and organizational skills. * High level of accuracy and attention to detail.