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The Marcus Institute for Aging Research is actively seeking a highly qualified and motivated Post-Doctoral Research Fellow and computational biologist with a strong background in NGS-based RNA-seq at single-cell resolution as well as 10X-based single-cell multi-omics data analyses and NGS-based analytical pipelines with innovative statistical and deep-learning modeling to explain skeletal biological mechanisms underlying the observation that the response to drug therapy for osteoporosis wears off over time. The post-doc will join a Bioinformatics Core recently established via a NIH P50 Center Grant with joint effort from Harvard Medical School, Harvard Dental School, Massachusetts General Hospital, Beth Israel Deaconess Medical Center and the Marcus Institute for...
Research professional working with and under the direction of the Principal Investigator (PI). Facilitates and coordinates data and biosample management activities and assists with data documentation and archiving. Assists with literature reviews, data analyses and creation of data reports, summaries, and figures. Works with the PI, department, sponsor, and institution to support and provide guidance on the administration of the compliance, financial, personnel and other related aspects of the study. Must have the ability to work on multiple projects, prioritize tasks, develop workflows, and meet study deadlines. Must have good problem-solving skills, be able to work with minimal supervision, be self-motivated and able to work independently and as a...
The Marcus Institute for Aging Research seeks a Biomedical researcher with expertise in applying statistical and quantitative modeling approaches and with experience in genetics/genomics (‘omics’) data applications. Manages, cleans, manipulates, and analyzes omics data (genomics, epigenomics, gene expression, proteomics, metabolomics and microbiome) in the service of the advancement of research conducted on multiple complex phenotypes. Designs, implements, and maintains reusable bioinformatics analysis pipelines for processing omics data and integrates computational methods/pipelines within high performance computing clusters. Experience with cloud-computing is ideal. Constructs visualizations to depict associations, conducts exploratory data analyses,...