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chemoproteomics, chemical biology, and related areas. The interested candidate will work directly with experimental scientists within a wet lab setting to facilitate the management, analysis, and visualization
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environments is necessary. Experience with data cleansing, wrangling, visualization, modelling, and interpretation is necessary. Previous experience in data science is highly desired. Previous experience in
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methodologies and international collaborations. Developing novel computational tools that use recent advances in artificial intelligence to automate and enhance bioinformatic analyses. These projects
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, Nature Communications, Cancer Research, Bioinformatics, Blood, Cancer Discovery, Nature Machine Intelligence, Nature Protocols, Nucleic Acids Research, Genome Biology, Neuro-Oncology, and Frontiers in