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-Coding Genome Edits: Develop innovative machine learning approaches for designing precise non-coding genome edits, focusing on how non-coding alterations influence gene regulation and cellular function
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, spatial data, and perturbation screens with high content molecular and imaging data to understand cellular and multi cellular combinatorial programs in cells and tissues in health and disease. You will join
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to drug discovery and development You have lots of ideas: some good, some great; you are quickly able to prioritize, prototype and pressure-test new ideas to reduce time between iterations Quick learner
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strategies that modulate the crosstalk between tumor and immune cells, and develop new image-based screening technologies to identify targets that mediate clinically-relevant cell-cell interactions
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culturing and genetic manipulation of microbiota, immune cells, organoids, imaging and new microscopy techniques is a plus A record of innovative scientific accomplishments as evidenced by one or more first
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, prototype and pressure-test new ideas to reduce time between iterations Quick learner, are curious about new areas and the opportunity to build expertise, and courageously boldly and creatively take