Job:Postdoctoral Researcher in Network Analysis/Computational Biology
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5.8 years ago
burnsajohn ▴ 10

A postdoctoral scholar position is immediately available in the Sackler Institute of Comparative Genomics at the American Museum of Natural History in New York City. The research will involve computational reconstruction of metabolic pathways of ancient organisms using a combination of network analysis and phylogenetics and will involve the development of new computational resources along those lines. The successful candidate will have extensive computational background in network and graph based analysis and in scripting and programming languages (e.g. python, perl, R, C/C++) to complement the team with expertise in biology, genomics, and phylogentics. Additional experience in the development and application of theoretical models to biological problems (e.g. machine learning methods) would also be of interest.

The Sackler Institute of Comparative Genomics is a preeminent center for research, collections, and training in the field of non-human comparative genomics and in the pursuit of seminal research in the study of gene variation, which informs our understanding of the human genome, the evolution and history of life, and the conservation of Earth's biodiversity.

The American Museum of Natural History is a leading research institution with world-class facilities and researchers. It is home to more than 200 scientists who work across the broad disciplines of anthropology, astrophysics, biology, Earth and planetary sciences, and paleontology, as well as to one of the world's most extraordinary collections of specimens and artifacts. Through the Richard Gilder Graduate School, it is the only U.S. museum to award the Ph.D. degree.

Qualifications: PhD in Biology, Bioinformatics, Computational Biology, Computer Science, Physics, or a related degree.

The position is funded for 2 years with a starting salary of $56,000.

Please send a C.V. with a list of recent or relevent publications, a cover letter, and a list of references to jburns@amnh.org and anarechania@amnh.org.

Network analysis Machine Learning Job • 1.7k views
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