-
bioinformatics tools and data analysis for genomic and transcriptomic research. Join our team to drive groundbreaking discoveries in immune disorders and inflammatory signaling. Be part of a dynamic, collaborative
-
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
-
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
-
Fellow will lead projects that will advance our understanding on the role of distinct cellular states and tumor microenvironments in cancer, with a particular emphasis on metastatic breast cancer and tumor
-
omics, label-free microscopy, in vivo screens, and foundational models. The ideal candidate for this role has a strong foundation in both experimental and computational sciences, but exceptional
-
Biology, Molecular Biology, Bioengineering, Systems biology, Neuroscience, Immunology or related field Expertise in high content imaging screens and/or spatial omics experimental methods Expertise in
-
. The postdoctoral fellow will initiate a research project to investigate interactions between commensal bacteria and/or pathogens and the host intestinal or respiratory mucosa at the molecular level. The successful
-
on developing and applying foundational AI models to investigate clinically relevant cancer vulnerabilities and their relationship with molecular context. Spanning functional genomics and large-scale clinical
-
discovery. This position in particular focuses on sequence-to-function deep genomics modeling, with the goal of developing performant models that make generalizable out-of-distribution predictions
-
teams. The Opportunity: Opportunity to work closely with computational colleagues to analyze, evaluate, and perform integrative computational analyses. Leverage multimodal high dimensional data to explore