The Zipursky lab and the UCLA QCBio Collaboratory is looking for a postdoctoral fellow with a strong background in bioinformatics to join an ongoing project to understand the development of the mammalian visual cortex. This position will be a joint position between the Zipursky lab and the Collaboratory (qcb.ucla.edu/collaboratory/).
The Zipursky lab, with traditional strengths in using Drosophila as a model for uncovering mechanisms of neural circuit formation, has recently begun to study the maturation of the mouse visual cortex using both longitudinal imaging of single neurons throughout development and RNA sequencing. The successful applicant should have expertise in genome data analysis (NGS/RNA seq), preferably prior experience in single cell sequencing data analysis, and a demonstrated ability to formulate and solve biological problems using large-scale genomic datasets.
The Collaboratory, a central component of the Institute for Quantitative & Computational Biosciences (QCB), provides the experimental and empirical research environment where bioscientists and computational scientists work together to design and conduct experiments to improve our understanding of biological systems. As large-scale data analysis is often limited to most bioscience laboratories, the Collaboratory’s main mission is to facilitate genomic data analysis by bringing together UCLA bioscience faculty with a select group of QCB post-doctoral fellows dedicated to the Collaboratory. Individual post-doctoral fellows are assigned to work on specific bioscience research projects to develop and implement tailored methodologies for genomic analysis. In addition, the fellows are responsible for organizing intensive tutorials to train UCLA students and postdocs in the latest next-generation sequence analysis techniques.
Please send a CV, a description of past research experience, a 1-page teaching statement, and three letters of reference to Larry Zipursky (lzipursky@mednet.ucla.edu) and QCBio Programs Manager Lana Martin (lana.martin@lifesci.ucla.edu).
Applications are due Friday, May 24, 2019 at 5:00PM PST.
Ph.D. required.
Email (see Description).