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opening for an outstanding, highly motivated, and self-driven technician to join a cutting edge research program on engineering immune tolerance by combining mRNA technologies, nanoparticles, and epigenetic
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, transcriptomic (e.g., single cell and bulk RNA-seq), and epigenetic datasets preferred. The candidate should have experience in data visualization and in establishing, developing, and implementing bioinformatic
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machine learning approaches for clinical research. Due to genomic and epigenetic instability of cancer cells, inter-patient and intra-patient heterogeneity in tumors creates formidable challenges in
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analyses of genetics and epigenetic data, as well as proteomic and metabolomics. Preference will be given to candidates with a history of extramural research funding and high-profile publications. Other