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conduct laboratory-based research focusing on multiple myeloma and its precursor conditions. Based on the mission of the lab, the successful candidate will be responsible for identifying novel biomarkers
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, we use cutting edge genomic techniques such as duplex sequencing, long-read sequencing, and single-cell DNA and RNA sequencing. We are also actively developing new experimental and computational
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-of-the-art dry lab under the general supervision of Dr. Katherine Janeway at Dana-Farber Cancer Institute (DFCI). The lab utilizes genomic and transcriptomic sequencing to elucidate the underlying
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expertise in machine learning and/or Bayesian models is preferred. This position will involve both methodology development and analysis of multi-omic sequencing data, including spatial transcriptomic data
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in normal intestinal homeostasis and perturbations that drive pathology, including risk for tumor development. Our research combines cutting-edge techniques, including single-cell RNA sequencing
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, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a candidate’s application include: experience with whole-genome or exome sequencing
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for completing complex research projects during their Ph.D and significant experience in standard laboratory techniques (next-generation sequencing (such as RNA-Seq, ATAC-Seq, etc.), flow cytometry, PCR, western
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cell sorting, and next-generation sequencing library preparation. Bioinformatics and computer science expertise is a must. Excellent oral and written communication skills and the ability to perform both
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genetics of disease models, human pluripotent stem cells derived neurons, high content imaging, electrophysiology, single cell RNA sequencing, bioinformatics, and spatial transcriptomics technologies. We
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teaching activities. You hold a PhD in microbiology/microbial ecology or similar, and you have experience in bioinformatic methods for analyzing environmental sequencing data (metagenomes, amplicons, long