Scientific Programmer
The Maurano Lab is looking for a programmer to work on a variety of regulatory genomics projects. Candidates should have a degree in a quantitative field and ideally 5+ years of experience. Experience with the UNIX environment and programming experience using suitable languages such as Python, R, Perl, C, or Java are required. Statistical experience and familiarity with Illumina sequencing data analysis for functional genomics studies (e.g. ChIP-seq, RNA-seq, DNase-seq) are highly desirable. While a background in biology is a plus, we also welcome candidates with the interest and motivation to learn a new field. The applicant will be involved in a range of research projects, both independently and in a collaborative role with other lab members, and will be encouraged to make original scientific contributions.
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.
