A post-doctoral position is available in the group of Dr. Kai Wang (http://wglab.org) at the Institute for Genomic Medicine at Columbia University. Research in the lab focuses on developing genomics and bioinformatics methods to understand the genetic basis of human diseases. The candidate will work on the development of novel statistical approaches to improve power to detect genetic association from sequencing data. The candidate will also apply the algorithms to ongoing large-scale exome/genome sequencing studies on various human diseases and clinical trial populations. The candidate will work in a highly interdisciplinary environment within the Institute for Genomic Medicine and have exposure to a variety of collaborative opportunities. Projects may be tailored to suit the candidate’s research interest and expertise.
A suitable candidate should have a doctoral degree in a quantitative field, such as bioinformatics, computational biology, biostatistics or computer science, with strong interest in human genetics. A successful candidate should have sufficient experience in algorithm development, scientific programming, and machine learning. Prior experience with large-scale exome/genome data analysis is preferred.