A post-doctoral level NIH-funded data scientist position is available in the group of Prof. Gaurav Pandey at the Icahn School of Medicine at Mount Sinai in New York City. The target project for this position is the development of novel machine learning algorithms to extract enhanced predictions and actionable knowledge from crowdsourcing operations. These algorithms will be applied to DREAM challenges with the goal of improving the community's ability to address difficult biomedical problems. Plans have also been made to evaluate and translate the findings from this work in clinical settings. This work will be conducted in close collaboration with IBM Research and Sage Bionetworks.
Our group focuses broadly on developing and applying machine learning methods to build network and predictive models of biological processes from large biomedical data sets. It is a part of the recently formed Icahn Institute of Genomics and Multiscale Biology at the Icahn School of Medicine 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 large biomedical data sets to build accurate 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 computer science, computational biology, bioinformatics, systems biology or related field. Strong computational and machine learning expertise are required. Familiarity with large-scale data analysis and biology are a plus. The candidate should have discipline and high motivation to pursue independent research in computational biology. Applicants are also expected to have a solid background in programming and computational techniques. To apply, send a CV, a research statement and three reference letters to email@example.com.