We invite applications for a postdoctoral scholar in statistical genetics/genomics. A suitable candidate will possess a doctoral degree in a quantitative field (such as statistics, biostatistics, computer science, physics, or mathematics), with a demonstrated interest in genetics/genomics. Candidates with doctoral degrees in genetics, molecular biology, or related fields with substantial computational and statistical expertise are also encouraged to apply.
We are interested in a wide variety of statistical and computational problems arising from genetic and genomic data. These include causal inference, biological networks, high dimensional data, genetic mapping, and Bayesian methods.
Applications and enquiries should be directed to Phillip Babcock (babcock@psg-ucsf.org). Applications should include a cv (curriculum vitae), and a one-page statement of purpose.
UCSF is an affirmative action/equal opportunity employer. The University undertakes affirmative action to assure equal employment opportunity for underutilized minorities and women, for persons with disabilities, and for covered veterans. All qualified applicants are encouraged to apply, including minorities and women.