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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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tumor suppressor biology. Experience with modern technologies such as CRISPR/Cas9-based genome engineering, single-cell or spatial transcriptomics, or high-content imaging. Working knowledge
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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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Disruptions in Post-Transcriptional Regulatory Processes: Analyze how alterations in RNA processing, stability, and translation contribute to cellular dysfunction and disease pathogenesis using mechanistic
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: Ph.D. in physics, applied mathematics, statistics, computer or computational sciences, or in an engineering field such as biomedical informatics, or a related discipline. Required experience in
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hypotheses. This is a fantastic opportunity to contribute to world-class science in a leading biotechnology company. Who you are: Candidates must have a PhD in Computational Biology or Computational Science
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that combine the engineering and analytical principles of multiple scientific disciplines. We are seeking a talented postdoctoral fellow to join our team and advance our mission by contributing to the discovery
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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
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genomics datasets. Work closely with laboratory colleagues in the design of relevant experiments to develop and validate biological hypotheses. May also participate in method or technology development as a
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is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful