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As a member of a team of scientists in our In Vivo Pharmacology Cancer Cell Biology Group, you will play a lead role in using models of cancer to evaluate new drug candidates, mechanisms, and
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an analytical and chemical biology strategy, commensurate with each project's stage, to provide data and interpretations that enable efficient and effective decision-making regarding linker payload
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. The successful candidate must have experience programming, troubleshooting and supporting various types of laboratory equipment. A general understanding of biology is required. Key to the role is a demonstrated
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a team of AI/ML Data Scientists and drive innovation in the RNA platform BASIC QUALIFICATIONS PhD in Systems Biology, Computer Science, Mathematics, or related quantitative field 6+ years
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, high-content/high-throughput screening, molecular biology, and complex cellular models, to support and accelerate the deconvolution of novel therapeutic mechanisms across a diverse discovery portfolio
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mammalian cell culture, molecular biology, large-scale mammalian cell expression, and protein production analysis for supporting protein therapeutics discovery efforts. The individual will perform
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knowledge of scientific trends and new technologies. QUALIFICATIONS Must Have Bachelor's degree with 9+ years of experience, or master's degree with 6+ years of experience in molecular biology, biochemistry
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Biochemistry, Biology, Biomedical Sciences or a related discipline with 3+ years of experience or a Master's Degree with 0-2 years of experience. Experience in therapeutic protein discovery or biochemistry
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laboratory bench work and work on a computer (while standing or sitting). Ability to perform mathematical calculations and interpret data. Must be able to regularly lift >30 pounds. NON-STANDARD WORK SCHEDULE
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a team of AI/ML Data Scientists and drive innovation in the RNA platform BASIC QUALIFICATIONS PhD in Systems Biology, Computer Science, Mathematics, or related quantitative field 6+ years