A post-doctoral position is available in the group of Prof. Gaurav Pandey (http://www.mountsinai.org/profiles/gaurav-pandey) at the Icahn School of Medicine at Mount Sinai in New York City. The group focuses on developing and applying machine learning methods to build network and predictive models of biological processes from large genomic data sets. Our machine learning work relies on various types of predictive modeling and ensemble systems. Some of the specific biomedical areas the group is currently focusing on are the modeling of complex diseases, such as diabetes and cardiovascular disease, and the discovery of novel therapeutics, especially synergistic drug pairs. These are important but quite difficult problems that need constant computational innovations, thus making the problems very interesting from computer science and machine learning perspectives as well.
Our group is a part of the newly formed Icahn Institute of Genomics and Multiscale Biology (http://multiscale.mssm.edu) at Mt Sinai. The Institute aims to revolutionize the field of genomic medicine by bringing to the table skills from very unorthodox disciplines (for biology), such as computer science, statistics, physics and high-performance computing. The faculty members of the institute, experts in all these areas, analyze very large genomic data sets to build accurate predictive models of biological processes and complex diseases, such as cancer, type-2 diabetes and Alzheimer’s disease. Being positioned within a prominent medical center such as Mount Sinai makes it feasible to bring the predictions and therapeutic discoveries from these models to the patients’ bedside, thus placing the institute in a very unique position.
The selected candidate will be able to contribute to the ongoing projects in the group and the Institute, as well as define his/her own projects.
Candidates should have a recent PhD degree in a computationally-oriented field, and discipline and high motivation to pursue independent research in computational biology. Applicants are expected to have a solid background in programming and computational techniques, with a working knowledge of molecular biology and genetics. To apply, send a CV, a research statement and three reference letters to email@example.com….