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ROLE SUMMARY At Pfizer we deliver breakthroughs that change patients' lives. In La Jolla, we are dedicated to the development of oncology agents that disrupt cancer biology or redirect the immune
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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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of the Oncogenic Transcriptional Networks Group within the Cancer Cell Biology (CCB) Department. The candidate should have expertise in cell line engineering technologies, molecular and protein biology methods, and
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on transcriptional and post-transcriptional regulation, RNA biology, and/or cell signaling and guide a small group. The individual selected for this position will have a strong record of innovative studies and proven
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across the biology, computational, and translational sciences to advance oncology therapeutics from concept to clinic. How You Will Achieve It Utilize experience and creativity in synthetic and medicinal
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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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for this position. You will work collaboratively within the chemistry department and researchers across the biology, computational, and translational sciences. You will play a vital role as scientific leader and key
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, strain prediction based on genetics, structure, antigenic and relevant metadata. POSITION RESPONSIBILITIES Provide AI/ML and computational biology expertise to support Vaccine research & Development
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relevant field of science (biology, immunology, microbiology, etc), and 0-2 years of experience. Has a good foundation in general scientific practice and in the principles and concepts of a relevant
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/ project team independently and proactively. Perform laboratory experiments to help establish robust disease biology, biochemical and cell-based compound screening assays and carry out in vivo evaluation