Vacancy expired!
As a Scientist in the computational chemistry group, you will:
• Execute sophisticated experiments using advanced computational techniques on Linux-based computer workstations to drive the discovery of new medicines
• Serve as a scientific expert in multi-disciplinary discovery project teams that include chemists, structural biologists, and other discovery scientists, by providing key expertise in the use and interpretation of structural data related to drug targets and their ligands/inhibitors.
• Clearly communicate the results of computational experiments and interpretations of structure to project team members.
• Develop novel computational methods and/or workflows to address key drug discovery questions.
• Collaborate with other computational chemists to incorporate new computational technologies in the project team setting. Qualifications
• A PhD in Computational Chemistry or related field is required. • Postdoctoral experience is highly preferred.
• At least 5 years of experience post PhD in the application of computational chemistry (CADD) tools to drug discovery is required.
• Experience in the pharmaceutical industry is highly preferred. • Experience working with multi-disciplinary/cross-functional teams is required.
• Familiarity with one or more standard academic or commercial computational chemistry packages (examples might include: Maestro/Schrodinger, MOE/Chemical Computing Group, OpenEye) is required.
• A strong scientific track record of publications in peer-reviewed journals and/or patent literature is required
. • Excellent written and verbal communication skills are required. • Experience with one or more of the following is preferred
• Scripting workflows and implementing new algorithms.
• Applying cheminformatics toolkits and packages (e.g., Pipeline Pilot, KNIME, or ChemAxon) to analyze large scale data sets from multiple sources.
• Conducting high-throughput virtual screening.
• Applying ML/AI techniques to drug discovery.
