Designing, developing, building, and maintaining peptide design pipelines, focusing on (but not restricted to) structural and conformational aspects; Maintaining a scientific and technical watch and staying abreast of the state-of-the-art in the fields of protein structure prediction and peptide and protein design, from both global research and industrial perspectives; Performing structural analyses of systems of interest (detection of pockets, detailed analysis of protein/protein interfaces, of docking pose, etc.); Engaging with other peptide and protein design companies to develop partnerships or to conduct joint projects
Requirements:
Ph.D. in computational chemistry, molecular modeling, structural biology, machine learning, or a related field, with a strong theoretical background as demonstrated by contributions to leading journals; or an equivalent combination of education and experience; Hands-on experience designing, training, or utilizing modern deep-learning tools for protein structure prediction, protein modeling or protein design (e.g. AlphaFold, ProteinMPNN, Rosetta tools etc.); 3 or more years of experience in protein structure prediction and analysis, including expert knowledge of modern computational chemistry packages and tools, with an emphasis on molecular dynamics, structure prediction and analysis, virtual screening/docking
Text:
Structural Bioinformatics Scientist Designing, developing, building, and maintaining peptide design pipelines, focusing on (but not restricted to) structural and conformational aspects; Maintaining a scientific and technical watch and staying abreast of the state-of-the-art in the fields of protein structure prediction and peptide and protein design, from both global research and industrial perspectives; Performing structural analyses of systems of interest (detection of pockets, detailed analysis of protein/protein interfaces, of docking pose, etc.); Engaging with other peptide and protein design companies to develop partnerships or to conduct joint projects Ph.D. in computational chemistry, molecular modeling, structural biology, machine learning, or a related field, with a strong theoretical background as demonstrated by contributions to leading journals; or an equivalent combination of education and experience; Hands-on experience designing, training, or utilizing modern deep-learning tools for protein structure prediction, protein modeling or protein design (e.g. AlphaFold, ProteinMPNN, Rosetta tools etc.); 3 or more years of experience in protein structure prediction and analysis, including expert knowledge of modern computational chemistry packages and tools, with an emphasis on molecular dynamics, structure prediction and analysis, virtual screening/docking
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