iPlant Collaborative

CSHL is seeking an experienced software developer to join the iPlant Collaborative project, a new NSF-funded initiative which seeks to develop an comprehensive national cyberinfrastructure which will unite researchers in every plant biology discipline—from those working at the microscopic level, such as molecular biologists, cellular biologists and geneticists, to those working on the ecosystem and planetary level—in partnership with computer scientists and engineers, information scientists, mathematicians and social scientists, in order to facilitate communication and collaboration across all of these disciplines to address questions of global importance and advance all of these fields.

Responsibilities:The applicant will interact with bioinformaticians and other members of the iPlant team to participate in the design and implementation of next generation systems for organizing, analyzing and visualizing large-scale data sets in the fields of genomics, phylogenetics, developmental biology and physiology.

Qualifications: Successful candidates will have significant experience in the design and implementation of algorithms for processing large amounts of scientific data. We require fluency in one compiled language such as C or C++, and at least one high-level numeric analysis package such as MATLAB, S-Plus or R. Proficiency in a Unix environment, and comfort with source code control systems and agile development environments are required. An understanding of the basic principles of biology is a strong positive, as is a basic understanding of statistics.

Salary and Benefits: The salary range for this position is between $90,000 and$110,000, depending on level of experience, and includes a comprehensive benefits package.

Institute Background: 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.

Interested candidates should send a detailed CV and names of three references to