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 novel computational algorithms for annotating subcellular localization of plant metabolic reactions as a part of a team called the Plant Metabolic Network (PMN, www.plantcyc.org). The successful candidate will have opportunities to develop other algorithms addressing a broad array of questions regarding evolution, function, or regulation of 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 Computer Science, Bioinformatics, Computational Biology, Biology, Mathematics, Engineering or a related field, and a strong background in algorithm development, statistics, machine learning as well as a strong interest in applying computational approaches to address biological problems. 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. Proficiency in Matlab, R and Python is a plus.
Please apply online at:
jobs.carnegiescience.edu/jobs/computational-biology-postdoc-position-to-develop-algorithms-for-creating-and-analyzing-plant-metabolic-networks/