University of Colorado Boulder Boulder, CO, USA
Apr 30, 2018Full time
We are recruiting highly motivated individuals with experience in programming, statistics, and/or genetics to help us develop methods to elucidate the genetic architecture of complex traits using genome-wide data. This NIH funded work is being conducted at the Institute for Behavioral Genetics (IBG), University of Colorado Boulder (PI Matthew Keller) in collaboration with Peter Visscher and Jian Yang at the University of Queensland, Australia. We are developing new methods using imputed SNPs and sequences in large datasets to gain traction on the importance of rare vs. common variants, genetic heterogeneity, the importance of familial environmental effects, and the degree of non-additive genetic variation underlying complex traits (for relevant publications, visit ). Minimum qualifications include a Ph.D. in a quantitative/computational field, experience with the R statistical language and UNIX, and a record of scientific productivity. The position is open for a 2+ year postdoctoral fellowship to be filled summer of 2018 or after. Interested candidates may contact for questions about the position (please attach updated CV), and should formally apply through - Find CU Boulder Openings - Job Number 13372. Job Requirements Education, training, experience: Minimum qualifications include a Ph.D. in a quantitative/computational field, experience with the R statistical language and UNIX, and a record of scientific productivity. Please do not forget to mention Bio Careers when applying.