We have an immediate opening for an experienced Statistical Geneticist to develop analysis methods and implement analyses of genetic and other “omic” data. Our teams use R and Python to work on genetic and genomic statistical analysis projects for the pharmaceutical and biotech industries and other types of medical research. Extensive experience in following and interpreting study and other guidance documentation to specify and create statistical genetic report content is desired as is experience developing infrastructure code to present and store statistical genetics data and results. Experience in GWAS and NGS data is required. Experience designing, coding, testing, documenting, and programming custom software is required. Other duties may include validating existing programs and programming using other software packages as needed. Successful candidates will work independently with minimal supervision, have a preferred minimum of an MS, with a PhD preferred, in computer science, statistics, biostatistics, epidemiology, genetics, biological sciences, or other quantitative field. Training in machine learning and penalized regression methods for the development of diagnostic panels using genetic, genomic and other “omic” data sources is desired, but not essential. Experience with Java and Javascript is helpful but not required.
On-site work in our Seattle office is required. This is a full time position. Background checks of selected candidates are required before employment begins.
Statistical Geneticists @ Seattle, Washington, U.S.
