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Required: Ph. D. in an area of the biomedical sciences (biomedical engineering, biology, molecular biology, biochemistry, or zoology) or a closely related field. Consideration may be given to candidates with demonstrated expertise through peer-reviewed publications in one or more of the following areas: biomaterials, cell biology, immunology, endocrinology, women's health.
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The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters.
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Ph. D. or an M.D./Ph. D. in Immunology, Molecular Biology, or related field with at least 8 years of applicable biomarker, translational research, program management, clinical trial and/or research experience is required.
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Assistant Or Associate Professor, Pharmaceutical Sciences: Pharmacology, Physiology, Cell Biology, a
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The Department of Pharmaceutical Sciences comprises faculty members with diverse expertise in neuropharmacology, cardiovascular pharmacology, molecular pharmacology, cellular physiology, neuroscience, pharmaceutics, drug delivery, and molecular modeling.
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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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Carries out genomic (DNA, RNA) analyses by high-throughput sequencing, protein analyses by immunoblotting, and drug response assays. Helps train new research assistants and postdoctoral fellows in standard methods of molecular biology.
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Scientific expertise in the areas of: cellular biology, in vitro assays, ion channels, ADME-T, biomarker discovery, immunology, safety pharmacology, or related methods and applications. Technical understanding and knowledge in supporting ADME and Toxicology services within drug discovery programs, from development to IND submission life cycle.
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The Islet Engineering and Replacement laboratory is focused on developing cell replacement therapies for type 1 diabetes and developing innovative new technologies to support basic and translational science in the use of stem cell derived islets for disease modeling, drug screening and islet biology.
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Research and laboratory work related to nanoparticle drug delivery, fluorescence microscopy, in vivo imaging, biomaterials, immunology, and cancer biology. The work requires mastering the background and skills in nanoparticle drug delivery, fluorescence microscopy, in vivo imaging, biomaterials, immunology, and cancer biology.
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Health benefits include: Medical and prescription drug insurance, dental insurance, vision insurance, critical illness insurance, accident insurance, hospital indemnity insurance, personalized healthcare support, wellbeing program and tobacco cessation program.
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The candidate will have a strong publication record demonstrating relevant experience in clinical trials, translational medicine/research, early drug development, drug discovery and/or biomarkers.
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Ph. D. degree in Organic Chemistry, Medicinal Chemistry, Biology or other related major. With the experience in serving domestic and foreign biomedical industries, they have built an integrated platform covering key technologies in drug discovery, pharmaceutical research, and preclinical research, to provide a comprehensive preclinical R&D service for the global biomedical industry.
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Broad and versatile technical expertise in immunological, cell/molecular biology, and/or biochemical assays (flow cytometry, cell culture techniques, immune cell function assays, qPCR, ELISA, immuno-blotting, lentiviral transduction, cell line engineering, etc) and assay development.
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Bachelor's in Food Science, Biology, Dairy Technology or related field. The company maintains a drug-free workforce, including post-employment substance abuse testing pursuant to a Drug and Alcohol Policy.
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The successful applicant will have an opportunity to further her/his training in machine and deep learning approaches, gain experience in moving computational projects to publications, and gain experience in the application of biomarker identification for drug development and testing.
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