Multiple Postdoctoral Positions in Computational Biology and Bioinformatics
We invite applications to fill multiple post-doctoral positions in the Gillis Lab. The successful candidates will join a team at CSHL working to understand the molecular and functional basis of cellular properties in diverse systems, including mammalian brains. This is a largescale project involving a number of complementary positions, ranging from bioinformatics, to neuroscience, to molecular genetics. While the focus of the position is computational, all projects involve substantial collaboration with wet-lab researchers generating unique data. This interdisciplinary work offers opportunities to address important questions in computational biology and molecular genetic with first access to large novel data sets from single-cell RNA-seq. The expected duration of the position is approximately 3-5 years with renewal at the end of each year.
A major conceptual focus of the project will be developing new ways of assessing large-scale data for replicable signals. The positions offer substantial scope for training candidates interested in making a leap from computer science, neuroscience or genetics to data-focused research, particularly if it has arisen informally in their previous work.
In addition to a collaborative focus within the project itself, successful applicants will enjoy a wide range of educational opportunities at Cold Spring Harbor Laboratory. Cold Spring Harbor Laboratory is a world-renowned research and educational institution with programs in cancer, neuroscience, plant biology, genomics and bioinformatics. The Laboratory is recognized internationally for its excellence in research and educational activities.
This research sits at the intersection of Computational biology and molecular genetics. A strong candidate would have expertise in one of these areas and an interest in learning about the other. While a broad range of backgrounds are suitable for this position, a PhD in bioinformatics or computational biology is desirable.
A particular focus of our methodological research is replicability and meta-analysis and an interest in these areas is helpful. Experience with either Matlab or R is a plus.
Exceptional applicants without a formal computational background will also be considered, particularly if they are familiar with standard bioinformatics tools.
Please include a letter of interest outlining your research accomplishments and include the contact information of three references. Applications can be sent directly to JGillis@cshl.edu.