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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 a highly collaborative
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of innovative scientific accomplishments as evidenced by at least one first-author or co-first author key paper Highly collaborative with the ability to work in a fast-paced environment together with multi
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the molecular pathways of disease and to establish the mechanism of action of our therapeutics. The successful candidate will work with our team to analyze multi-level biomarker data generated from pre-clinical
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motivated, and highly collaborative with the ability to work together with multi-disciplinary teams of computational and laboratory biologists. Preferred Qualifications: Background in Ophthalmology research
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with multi-disciplinary teams of computational and laboratory biologists Preferred Qualifications: Background in cancer genomics and pre- and/or post-training of foundation models for biology is preferred
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● Independent, highly motivated, and highly collaborative with the ability to work together with multi-disciplinary teams of computational and laboratory biologists ● Enthusiastic about working in a scientific
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scientific accomplishments as evidenced by at least one first-author or co-first author key paper Highly collaborative with the ability to work in a fast-paced environment together with multi-disciplinary
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with multi-disciplinary teams of computational and laboratory biologists Enthusiastic about working in a scientific environment, especially one that is related to drug discovery and development Quick learner
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genomics and core ML/AI modeling. You will be able to interact and work in partnership with collaborators from very strong human genetics and cellular genomics departments. You will be part of the Genentech