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Working closely with medicinal chemists, design and optimize drug candidates using advanced computational techniques such as protein modeling, free energy perturbation, molecular dynamics, QSAR models, molecular docking based on X-ray or homology models, ligand-based design, library design, diversity analysis, conformational analysis, pharmacophore modeling, QSAR, cheminformatics, and/or machine learning tools.
Our successful candidate will be a clear communicator, an enthusiastic team player, and a leader that will be instrumental in shaping the future computational chemistry strategy at Pardes.Ĭandidates must be located in the United States with preference to those close to one of our hubs ( SF Bay Area, San Diego, Boston) You should be well versed in the application of computational models to medicinal chemistry design cycles and development of customized models to address challenges faced by the project teams. This leader also needs to have specific experience in applying computational chemistry for structure-guided drug discovery. The candidate will play a key role in shaping the future of Pardes Biosciences by leading our efforts to apply innovative computational approaches to our unique reversible covalent chemistry platform. Reporting to the CSO at Pardes Biosciences. We are on a mission to help patients everywhere get well sooner. We believe it is a privilege, and our responsibility, to help stop a pandemic and start a movement. By capitalizing on emerging patient-friendly innovations from telehealth to new at-home diagnostic tools, Pardes is cultivating and harvesting the fruits of systemic change. We are applying modern reversible-covalent chemistry as a starting point to discover and develop novel oral drug candidates while reimagining the patient journey to access these medicines.
Pardes Biosciences is a clinical-stage biopharmaceutical company created by and for this moment to help solve pandemic-sized problems, starting with COVID-19.