Postdoctoral Research @ Cold Spring Harbor Laboratory
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@matthew-vaughn-1843
Last seen 9.7 years ago
A postdoctoral research position in biological informatics at Cold Spring Harbor Laboratory is available to a motiviated scientist who is interested in applying computational approaches to manipulating and analyzing large molecular and genetic datasets. The successful candidate will join an ongoing NSF-funded project studying replication origins and the overall organizational structure of plant chromosomes using high-density microarrays and next-generation sequencing technologies. The successful candidate will be responsible for developing new algorithms, tools, and scripts for analysis and interpretation of the high-throughput data components of this project. Research may include, but is not restricted to, such topics as cluster computing, machine learning systems, statistical modeling applications, and genome annotation tools. Candidates are required to have a Ph.D. in Genetics, Plant Biology, Biochemistry and/or Computational Biology (or equivalent). Ideally, they will have a good understanding of statistics and experience with at least one scripting language (such as Perl or Python), the R programming environment, and relational databases. Previous experience with microarrays or high-throughput sequencing is desirable but not required, as is a general interest in chromosome biology and epigenetics. Funding for this position is secured for two years from date of hire. However, the successful candidate is expected and encouraged to apply for all eligible fellowships. 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. Candidates will have opportunities to interact with and participate in advanced research in molecular biology, genetics, bioinformatics, and computational biology, and will have access to robust information technology resources as well as a high-performance computing cluster. Review of applications will begin immediately and continue until the position has been filled. Please send CV, a statement of research interests, and 3 reference contacts to vaughn at cshl.edu
Sequencing Genetics Cancer Sequencing Genetics Cancer • 1.1k views
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