This is a current listing of job announcements related to Statistics. To submit a job for posting please use the Statistics Job Submission Form. Please note that jobs are posted within 24hrs of submission. If you have any questions, comments, or need to make a correction regarding your job announcement, please contact firstname.lastname@example.org.
Position TitleTitlePostdoctoral Research Fellow
Fred Hutchinson Cancer Research Center, home of three Nobel laureates, is an independent, nonprofit research institution dedicated to the development and advancement of biomedical research to eliminate cancer and other potentially fatal diseases. The Hutch employs over 2,500 people and has five scientific divisions: Basic Sciences, Clinical Research, Human Biology, Public Health Sciences, and Vaccine and Infectious Disease, each with its own unique research focus. Overall Hutch provides a highly interactive and supportive environment for junior investigators to grow and develop their future career.
A Post-Doctoral Research Fellow position is available in Dr. Wei Sun's group at the Fred Hutchinson Cancer Research Center (http://research.fhcrc.org/sun/en.html). The successful applicant will develop statistical/computational methods and software packages to study -omic data. Specific topics/applications include, but not limited to prediction of immunotherapy outcome using -omic data, single cell RNA-seq/TCR-seq data, and deep learning methods for -omic data. This could be a good position for someone with -omic experience and would like to continue working in this area or someone with statistics background and limited -omic experience but would like to learn more in this area.
While statistics is at a cross-road (https://www.amstat.org/ASA/News/Statistics-at-a-Crossroads-Recommendations-Are-Released.aspx), a couple years of training for the knowledge of a broad application area (e.g., gene expression regulation, immunology) and expertise of data science techniques (e.g., deep learning) goes a long long way to help your academic career.
The applicants should have a PhD or equivalent degree in Statistics, Biostatistics, Computer Science, Bioinformatics, or other related fields. The candidate should have solid training in statistical methods and excellent computational skills. In addition, background in biology and genetics, and organization and communication skills are plus.