The Department of Genetics at Stanford University is seeking a Bioinformatician/post-doctoral fellow to study the mechanisms of aging and rejuvenation in a systematic manner (http://web.stanford.edu/group/brunet/ ). This is a unique opportunity to independently conduct a portion of a research project and to participate in cutting-edge and collaborative research at Stanford. The successful candidate will develop new algorithms and perform data analysis on unpublished high-throughput datasets from whole tissues and purified cells from young and old individuals (e.g. RNA-seq, single cell RNA-seq, ATAC-seq, proteomics), with a particular focus on stem cell aging and rejuvenation. The successful candidate will work in a highly collaborative environment. Primary responsibilities are to design and conduct analysis and to develop pipelines and algorithms for unpublished large-scale datasets. The successful candidate will be involved in several research projects and collaborate with other labs at Stanford. A strong computational and statistical background (PhD) is required. Experience in high-throughput genomic data analysis and an understanding of biology are a plus. This position requires excellent interpersonal skills and the ability to interact effectively with members of the research team.
