美国芝加哥大学计算生物学和统计遗传学博士后

Postdoctoral Fellow in Statistical and Computational Genomics

Applications are invited for postdoctoral researchers to join Dr. Xin He's group at Department of Human Genetics of University of Chicago. The research in our lab focuses on developing and employing computational/statistical tools to identify genes and regulatory elements involved in complex diseases and to understand the mechanisms of their functions. We take highly integrative approaches combining whole exome/genome sequencing data, expression and epigenomic data, and gene networks. For more information of our research, please visit: http://xinhelab.org.

Some potential projects include: (1) Statistical methods for mapping disease genes from whole genome sequencing data, incorporating biological annotations of both coding and non-coding sequences. (2) Identification of transcriptional regulatory networks underlying human diseases. (3) Analysis and utilization of systems genetic data, such as expression or DNA methylation QTL, in the context of studying diseases.

The applicant(s) is expected to hold a doctoral degree in a related field, such as computational biology/bioinformatics, population and statistical genetics, (bio)statistics or computer science. Candidates with a degree in biological sciences are also encouraged to apply if they have demonstrated experience in computational or statistical work.

Please send your CV and a list of three references to xinhe@uchicago.edu.