Bioinformatics scientists work closely with wet lab scientists to generate, analyze, and interpret large-scale datasets using various analytical and computational tools for data analysis and integration, network prediction, pathway analysis, and machine learning. Ideal candidates will have a strong background in relevant areas of biology, medical science, statistics, bioinformatics, modeling, and writing manuscripts for publication. This is a full-remote position in the Gabuzda lab with the option to come on-site.
• M.D., Ph.D., or M.S. in molecular biology, virology, immunology, medical science, biostatistics, computational biology, or bioinformatics.
• The candidate should have experience with cell and molecular biology, clinical data, biostatistics, bioinformatics, and computational modeling and be fluent in English with excellent writing skills.
• Experience analyzing RNAseq, flow cytometry, proteomics, metabolomics, and extracellular vesicles/exosome data is desirable but not required.