The Dynlacht laboratory will sponsor NYU undergraduate senior thesis research for a minimum of 12 calendar months (including one summer) or up to 2 years.
All students will be paired with and supervised by a senior graduate student or postdoctoral researcher. Students are expected to work in the lab a minimum of 20 hours a week during the fall and spring semesters. Some salary is provided for summer research. Students significantly contributing to research submitted as a peer reviewed manuscript accepted for publication are granted co-authorship (see Acosta Alvear et al). Interested students should e-mail Professor Dynlacht to arrange an interview. Interviewees should bring a current undergraduate transcript and a letter of reference to the interview.
Our lab meetings are always open to prospective graduate students. E-mail Brian to find out the details.
Postdoctoral Fellowship positions are available. It is recommended that interested applicants apply 3 to 12 months in advance of the preferred start date.
Postdoctoral Position available in Epigenetics and Gene Expression
The laboratory of Dr. Brian Dynlacht is interested in understanding the transcriptional regulatory and epigenetic mechanisms governing mammalian differentiation and cell cycle control using a combination of state-of-the-art biochemical, genomic, and computational methods. Candidates must have a Ph.D. in molecular biology, biochemistry, or a related field and a strong interest in gene expression. Expertise in techniques aimed at measuring transcription factor activity and gene expression is preferred.
Postdoctoral Position available in computational biology
A second position is available for those candidates with a Ph.D. in computational biology and/or bioinformatics who are interested in gene expression studies.
The lab is highly multi-disciplinary, and the successful candidate will have the opportunity to work side-by-side with both wet bench biologists and computational biologists. We seek a highly motivated individual with experience in bioinformatics and comparative genomics. An ideal candidate should have strong programming skills. Knowledge of biological principles, microarray analysis, and statistics is a plus. We are particularly interested in applicants with experience in programming, machine learning and computational biology modeling to join us in developing new methods for integrating and analyzing genomic and epigenomic data. The ideal candidate will be a recent PhD with an excellent publication record and experience with at least one of the following: DNA sequence analysis, biological databases, high throughput data analysis, and developing novel data mining algorithms for large-scale regulatory, metabolic or protein interaction networks.
The laboratory is located in the NYU School of Medicine in the heart of mid-town Manhattan. Competitive salaries and subsidized housing are available.
If you are interested in either position, please send a CV and a description of your interests to: Brian Dynlacht (brian.dynlacht@nyumc.org), Professor of Pathology, NYU School of Medicine, 522 1st Avenue, New York, NY 10016.