Post Doctoral Associate

Job description


A bioinformatic postdoctoral research position is available in the laboratory of Michael Lodato, Ph.D. to study rates, patterns, and consequences of somatic DNA mutations in the human brain. Our lab uses cutting-edge, single-cell, whole-genome-sequencing approaches to analyze somatic mutations in human neurons at previously impossible resolution. Our previous work has shown that human neurons contain hundreds to thousands of somatic point mutations per genome (Lodato et al., Science, 2015, PMID: 26430121; Lodato et al., Science 2018, PMID: 29217584). We have consistently worked to innovate new tools for the analysis of single-cell data (Sherman et al., NAR, 2018, PMID: 29186545; Bohrson et al., Nature Genetics, 2019, PMID: 30886424), and hope to continue to be a leader in developing computational methods to discover unappreciated features in single-cell data. The best candidates will have a desire to work in a new lab in a new and exciting field, driving their own independent research projects as well as collaborating with other lab members. If interested, there will be ample opportunities for the candidate to be trained in wet-lab techniques as well, to broaden their skills and grow scientifically.


Our brand-new lab is part of the Department of Molecular, Cell and Cancer Biology at the University of Massachusetts Medical School (UMMS) in Worcester, MA, giving us access to a multitude of core facilities, shared equipment, and a highly stimulating and interactive intellectual environment. UMMS is a vibrant and exciting research community, with ~3,000 faculty, including ~320 basic science principal investigators and ~2,500 clinical faculty. The UMMS faculty includes members of the National Academy of Sciences, the Howard Hughes Medical Institute, and the American Academy of Arts and Sciences. UMMS faculty have won several major awards, including the Keck Award, the Lasker Prize, and the Nobel Prize in Physiology or Medicine, among others.




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Job No:
Posted: 9/4/2019
Application Due: 12/3/2019
Work Type: