A postdoctoral position is available immediately in the laboratory of Dr. Sue Rhee at the Carnegie Institution for Science, Department of Plant Biology, to create and analyze metabolic networks of plants. Plant metabolism is the biological engine that feeds the world, not only humans but also microbes and animals. The successful candidate will lead the development of computational tools and methods for predicting plant metabolic enzymes and transporters as a part of a team called the Plant Metabolic Network (PMN, www.plantcyc.org). The successful candidate will have opportunities to investigate novel questions regarding evolution, function, or regulation of enzymes and transporters as well as metabolic networks in plants by leveraging the tools and data generated at the PMN and the Rhee lab, including standard molecular genetic tools and resources.
Qualified candidates must have a Ph.D. or equivalent in Bioinformatics, Computational Biology, Biology, Biochemistry or a related field, and a strong background in computational pipeline development, statistics and programming, as well as a strong interest in applying machine learning and other computational approaches to address interesting biological problems. Candidates with experience in developing machine learning algorithms are especially encouraged to apply. Working experience in large-scale sequence analysis, phylogenomics, and proficiency in programming languages of Python and/or Perl are pluses. The successful candidate should also have a demonstrated ability for independent and critical thinking, excellent communication and teamwork skills, and enthusiasm for learning new things.
Please apply online at:
jobs.carnegiescience.edu/jobs/bioinformatics-postdoc-position-to-develop-computational-pipelines-to-identify-enzymes-and-transporters-in-plant-genomes/