Postdoctoral Fellow in Regulatory Genomics

We are looking for a talented Fellow to join our group to work on how the noncoding genome specifies cell-type specific transcriptional regulation and its involvement in the genetics of human traits and diseases. A Ph.D. in molecular biology, genetics, biochemistry, or a related field is required. Candidates with both experimental and computational experience are welcome.

Interested parties should email a CV or resume and names of three references to Matthew Maurano (maurano [ a t ] nyu.edu). The position is available immediately.

Maurano Lab

This position is located in the Maurano Lab at the NYU Institute for Systems Genetics. Our lab is interested in establishing a foundation for the mechanistic study of regulatory variation, with the long-term goal of understanding how the noncoding genome affects cell-type specific transcriptional regulation and its involvement in the genetics of human traits and diseases. We apply both experimental and computational approaches and our interests include:

• Delineation of noncoding genetic variation affecting transcription factor occupancy and gene expression
• Regulatory variation and the genetics of human diseases and traits
• Long-distance regulation of gene expression in disease and development
• Profiling of chromatin features and their relationship to nuclear organization and function
• High throughput approaches to assessing transcription factor activity

For more information, see our past publications.

Location

Our laboratory is located on the east side of Manhattan at the NYU School of Medicine. We are affiliated with the Institute for Systems Genetics, the Department of Pathology, and the Sackler Institute of Graduate Biomedical Sciences. The Institute is designed to foster inter-disciplinary research at the cutting edge of human genetics and genomic technology. In addition to standard laboratory space, the Institute hosts dedicated high-performance computing resources and an automation suite with multiple liquid handling robots enabling rapid scaling of new techniques.