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GenScript ProBio is the subsidiary of GenScript Biotech Corporation, proactively providing end-to-end CDMO service from drug discovery to commercialization with proactive strategies, professional solutions and efficient processes in cell and gene therapy (CGT), vaccine, biologics discovery and antibody protein drug to accelerate drug development for customers.
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Effectively work across partner lines including biology, chemistry, bioinformatics, and chemical biology to support and enable Belharra drug discovery programs. We are seeking a highly engaged and creative analytical proteomics associate scientist to join our multidisciplinary drug discovery team in developing novel therapeutics to treat unmet medical needs.
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3)Manage multiple projects simultaneously and work cross-functionally with colleagues in the inflammation biology, protein engineering, chemistry, biomarker, bioinformatics, and clinical groups.
$139,145 - $180,070Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Postdocs in this position are expected to gain high proficiency with Schrödinger computational chemistry technologies applied to small molecule drug discovery research. We are seeking a candidate with a doctorate in chemistry, biochemistry or biophysics, who has wet-lab protein research experience.
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The successful candidate will be an expert in aspects of computational chemistry, experienced in structure-based molecular design informed with both physics- and AI/ML-based computation, and will be passionate about drug discovery.
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As part of your role, you will develop new methods to tackle protein design and drug discovery challenges such as robust de novo protein design or blind molecular docking. Free energy methods for protein design and small molecule drug discovery applications.
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Perform low and high-throughput screens using the Biacore 8K SPR for hit discovery, medicinal chemistry SAR support, and detailed evaluations of protein-antibody and protein-peptide interactions.
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Ph. D., M.S. or B.S.-level education in Biomaterials Science, Polymer Chemistry, Bioengineering, Chemical Engineering, Biochemistry, Pharmaceutical Sciences, Drug Delivery Sciences, or related fields.
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Contribute to the overall scientific and discovery strategy for the CT SD site in close collaboration with functional leaders such as in vivo pharmacology, data science, protein sciences, medicinal chemistry and translational oncology to ensure that we are delivering on our strategy, taking data driven go/no go decisions and resourcing and prioritizing programs accordingly.
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Knowledge of the Biological and CRO market, with emphasis on Molecular Biology and Peptide chemistry. GenScript USA Inc./GenScript ProBio USA Inc. maintains a drug-free workplace. GenScript's businesses encompass four major categories based on its leading gene synthesis technology, including operation as a Life Science CRO, enzyme and synthetic biology products, biologics development and manufacturing, and cell therapy.
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Drive, in partnership with other oncology and Novartis Biomedical Research functional leaders, new areas of scientific investment in drug discovery including novel targets, tumor targeting modalities, linker payloads and external collaborations and partnerships.
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But at 1910 Genetics, we often say “Biology is King,” meaning that computational technologies are only impactful in drug discovery when driven by experimental biology. Keeping up-to-date on cutting edge research in the AI for drug discovery space.
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This leader will develop and maintain collaborative relationships with other executives, leaders, and stakeholders in the Gilead Research and Development organization, including members of Medicinal Chemistry, Protein Therapeutics, Structural Biology, Drug Metabolism and Pharmacokinetics, Toxicology , Oncology Biomarkers, and Oncology Clinical development.
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The successful candidate will join our team and contribute to various research projects in small molecule drug discovery using machine learning algorithms. This is an exciting opportunity to work in a dynamic and innovative environment, leveraging cutting-edge technologies to drive drug discovery efforts.
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Projects may include developing cheminformatics tools and algorithms; large-scale virtual screening and protein-protein docking; creating scalable on-demand ML inference infrastructure; developing scalable chemical databases; automation of modeling, analysis, and visualization of simulations; and a range of similar tasks integral to achieving our mission of becoming the leading AI-enabled drug discovery in the field of induced proximity.
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