We have limited openings for motivated, spirited graduate students, postdoctoral fellows, and undergraduates.


Interested?

If you are interested in joining the lab, please send an email to Will, and include your CV and a brief statement of why you are interested in our work. We look forward to hearing from you!


Postdoctoral Position Available: Stem Cells

The Greenleaf lab is looking to recruit a postdoctoral fellow interested in examining variations of the regulatory landscape of single iPS and ES cells. We have developed a single-cell platform for analyzing variations in regulatory elements, and are funded to link changes in gene expression observed during skin differentiation at the single cell level to molecular drivers of these phenotypic changes. In the long run, our goal is to link causal variation in enhancers, promoters, and insulators to downstream changes in gene expression patterns. An ideal candidate would have a Ph.D. in Molecular Biology, Biochemistry, Biology, Immunology, Biophysics, Physics, Biomedical Informatics, Genome Sciences, Computer Science, Mathematics, or a related field, and have experience with high-throughput sequencing data. Experience with DNase-seq or FAIRE-seq data would be ideal. Please send a CV, including the names of 3 references, along with a letter describing your previous experience and current interests to Will Greenleaf.


Postdoctoral Position Available: Immunity

The Greenleaf lab is looking to recruit a postdoctoral fellow interested in examining variations of the regulatory landscape of single immune cells. We have developed a single-cell platform for analyzing variations in regulatory elements, and are funded to link changes in gene expression observed at the single cell level to molecular drivers of these phenotypic changes. In the long run, our goal is to link causal variation in enhancers, promoters, and insulators to downstream changes in gene expression patterns. An ideal candidate would have a Ph.D. in Molecular Biology, Biochemistry, Biology, Immunology, Biophysics, Physics, Biomedical Informatics, Genome Sciences, Computer Science, Mathematics, or a related field, and have experience with high-throughput sequencing data. Experience with DNase-seq or FAIRE-seq data would be ideal. Please send a CV, including the names of 3 references, along with a letter describing your previous experience and current interests to Will Greenleaf.


Postdoctoral Position Available: Skin Biology

The Greenleaf lab is looking to recruit a postdoctoral fellow interested in examining variations of the regulatory landscape of single human skin cells. We have developed a single-cell platform for analyzing variations in regulatory elements, and are funded to link changes in gene expression observed during skin differentiation at the single cell level to molecular drivers of these phenotypic changes. In the long run, our goal is to link causal variation in enhancers, promoters, and insulators to downstream changes in gene expression patterns. An ideal candidate would have a Ph.D. in Molecular Biology, Biochemistry, Biology, Immunology, Biophysics, Physics, Biomedical Informatics, Genome Sciences, Computer Science, Mathematics, or a related field, and have experience with high-throughput sequencing data. Experience with DNase-seq or FAIRE-seq data would be ideal. Please send a CV, including the names of 3 references, along with a letter describing your previous experience and current interests to Will Greenleaf.


Postdoctoral Position Available: Tech. Development

The Greenleaf lab is looking to recruit a postdoctoral fellow interested in developing novel transposase-based platforms for fast and sensitive epigenetic analysis. We are developing methods for assaying chromatin looping interactions, as well as methods that rely on affinity directed transposition of sequencing tags for multiplex measurements of DNA-protein interactions, such as transcription factor binding as well as post translationally modified nucleosomes. This project is well-funded, and we have already produced exciting preliminary data sets. An ideal candidate would have a Ph.D. in Molecular Biology, Biochemistry, Biology, Immunology, Biophysics, Physics, Biomedical Informatics, Genome Sciences, Computer Science, Mathematics, or a related field, and have experience with high-throughput sequencing data. Experience with DNase-seq or FAIRE-seq data would be ideal. Please send a CV, including the names of 3 references, along with a letter describing your previous experience and current interests to Will Greenleaf.