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Contribute to design, management and execution of antibody discovery campaigns to support the ModeX’s biologics drug discovery pipeline. BS with 5+ years or MS with 2+ years of relevant experience in antibody discovery and assay development.
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You have 1-3 years of hands-on experience in antibody discovery workflows via in-vitro display technology (yeast, phage, mammalian, etc. The company facilitates affordable, non-exclusive access to the entire drug discovery community from academic scientists, small and medium biotech, to the largest biopharma.
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Alpha Bio is an early-stage and rapidly growing drug discovery company headquartered in Seattle, WA. We are enabling the next generation of high-impact therapeutics by combining high-throughput synthetic biology to measure protein-protein interactions at scale with state-of-the-art machine learning to predict how proteins bind.
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We are seeking a PhD and/or MD professional who is a scientific leader in the field of biologics drug discovery especially antibody drug conjugates (ADC). In-depth knowledge / background in Oncology and biotherapeutics (especially antibody drug conjugates) drug development; Strong publication track record and recognized as an expert within the field of oncology or biotherapeutics drug discovery.
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Our drug discovery engine is differentiated by massively parallel screening in vivo from the beginning of our discovery process. We combine this and other high-throughput protein engineering approaches with computational design to create antibody-like drugs and other biologics.
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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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With a combination-focused pipeline that exploits the power of six scientific platforms (Immuno-Oncology, Tumor Drivers and Resistance, DNA Damage Response, Antibody-drug Conjugates, Cell Therapy and Epigenetics) to help address unmet clinical needs in a host of haematological cancers, we are motivated by a dedication to the scientific discovery and collaboration that will one day help eliminate cancer as a cause of death.
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Visterra, Inc., is seeking a highly motivated Research Associate with research experience in biochemistry, cellular and/or molecular biology to help discover and develop biologic therapeutics, as well as expand platform technologies that support our antibody-based drug discovery programs.
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The OpportunityAt Genentech Computational Sciences (gCS) Prescient Design, we are revolutionizing drug discovery with cutting-edge machine learning techniques. In this role, you will:Participate in cutting-edge research in machine learning and methods development for scientific discovery, including large language models and drug discovery.
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Strong molecular and cell biology background with knowledge and hands on technical expertise in the development and execution of protein- and cell-based assays to characterize mAb based therapeutics, including multi-specifics and antibody-drug conjugates.
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Our scope includes AbbVie's diverse pipeline of innovative therapeutic biologics medicines, including monoclonal antibodies, antibody drug conjugates (ADC), and other novel modalities, and spans from the selection of Discovery candidate molecules through the transition of analytical methods and testing to commercial labs to support product launch.
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Biologics Engineering is responsible for the discovery, design, engineering, and optimization of next-generation biologics to create biological drug candidates for all key therapeutic areas.
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The department of Immunology Discovery and Translational Sciences (IDTS) leads and supports our company's pipeline programs encompassing early target discovery and validation, drug discovery, translational sciences, and precision medicine in collaboration with multi-disciplinary teams at our company, including bioinformatics, immunology discovery and chemical biology, antibody discovery, and clinical development.
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Reporting to the Oncology Discovery Therapeutic Area head, you will partner with data science and machine learning (DSML), translational oncology and computational biology colleagues to gain deep insights into the biology and efficacy of antibody drug conjugates (ADCs) with the goal of delivering therapeutics to the right patients.
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The heart of insitro's strategy is the combination of advanced machine learning, biology at scale and molecular discovery that address bottlenecks in the drug development pipeline. insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines.
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