Chemical Computing Group
Dariusz B. is a seasoned professional with extensive experience in software development, QA, and infrastructure management. Currently serving as a Senior QA/Deployment Specialist in Research and Development at Chemical Computing Group since February 2016, Dariusz excels in R&D infrastructure development and client support, particularly in resolving escalated cases. Prior to this, Dariusz held roles including Solution Software Developer at ITMoN, Software Developer at Nexsan by Imation, and QA Developer/System Administrator at eXludus Technologies, contributing to diverse projects in automation, infrastructure design, and software support. Dariusz began a career as a Senior Database Expert at the Nuclear Power Plant "Kozloduy," where critical systems and interoperability solutions were implemented. Dariusz earned a Master of Science in Electrical and Electronics Engineering from Kielce University of Technology.
Chemical Computing Group
CCG (Chemical Computing Group) is a leading supplier of software solutions for life sciences. With a proven track record in scientific innovation, CCG continues to provide state of the art applications in drug discovery to pharmaceutical, biotechnology and academic researchers. CCG headquarters are in Montreal (Canada), with support offices in North America, Europe and Asia. CCG’s software programs include: 1) Molecular Operating Environment (MOE) - a single package for visualization, molecular modeling, computer-aided molecular design (CAMD), cheminformatics, bioinformatics and methodology development. 2) PSILO® - Protein SILO - a database system that provides an easily accessible, consolidated repository for macromolecular and protein-ligand structural information as well as a means to systematically track, register and search both experimental and computational macromolecular structural data. CCG has a strong academic presence with MOE and PSILO® being used extensively in teaching and research in over 600 universities world wide. CCG's special programs and discounts encourage the adoption of computational life science methodologies by the scientific community.