A post-doctoral level NIH-funded data scientist 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 target project for this position is the development and application of data mining and machine learning algorithms to derive enhanced predictive models and actionable knowledge from environmental health and genomics data. Much (but not all) of these data will be generated through the CHEAR program (http://www.niehs.nih.gov/research/supported/dert/programs/chear/), which aims to revolutionize children’s environmental and public health by promoting data-intensive and big-data research in these areas. The computational techniques developed in this position will be applied to these and other data, and will eventually also be integrated with genetic/genomic data to gain a more complete understanding of the genetics X environment contribution to health and disease. This work will be conducted in close collaboration with the Department of Preventive Medicine at Mount Sinai, which is one of the world leaders in children’s environmental health research and has experts in environmental epidemiology, biostatistics and environmental exposure assessment. This collaboration, as well as being positioned within a prominent medical center, makes it feasible for the acquired knowledge to be incorporated in health policy, community wellness and patient treatment.