홈
FT

Site Activation Coordinator

Francisco Trujillo-González

449
29
4
Mon - FriAvailable working days

전문 요약

Francisco Trujillo-González is a Pharmaceutical Chemist with a strong research-oriented profile in computational chemistry, molecular modeling, and computer-aided drug discovery (CADD), complemented by solid experience in pharmaceutical quality systems, regulatory science, and clinical research operations. He currently works as a Site Activation Coordinator in Regulatory and Start-Up at IQVIA, supporting global clinical trials through regulatory documentation management, site activation activities, and cross-functional coordination in compliance with ICH-GCP and international regulatory frameworks. This role has strengthened his understanding of translational research, bridging early drug development concepts with clinical implementation. Francisco holds a Master’s degree in Chemistry with a strong background in Biochemistry and Biophysics, where his academic training focused on molecular-level analysis of chemical and biological systems, including theoretical foundations of spectroscopy, computational modeling, and drug–target interactions. His research interests center on molecular dynamics (MD) simulations, structure-based drug design, virtual screening, and in silico optimization of pharmaceutical compounds, with the goal of understanding molecular mechanisms that govern drug efficacy and stability. His background also includes hands-on experience in pharmaceutical development and quality assurance, providing him with a unique interdisciplinary perspective that integrates computational research with experimental design, risk-based decision-making, and regulatory requirements. He has worked extensively with quality risk management tools (FMEA), statistical analysis, and SOP development within GMP-regulated environments, reinforcing a rigorous and data-driven research mindset. He is particularly interested in applying computational chemistry and MD simulations to support rational drug design, formulation optimization, and decision-making in early-stage pharmaceutical research.

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