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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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chemical and genetic perturbation tools coupled with high content imaging and single cell -omics to screen for regulators of disease states in complex in vitro human models Decode biological insights from
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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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Biology, Systems Biology, Neuroscience, Immunology or a related field. Expertise in tool development including any of the following areas: spatial omics, advanced microscopy, label-free imaging, genetic
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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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collaborations relating to understanding disease heterogeneity through genetics, transcriptomics, imaging, and other biomarker data across human data sets. Success in these responsibilities requires a thorough
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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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: Ph.D. in Computational Biology, Bioinformatics, Computer Science or related field. Demonstrated proficiency in Python or R, with experience building bioinformatic workflows and documenting code with