Postdoctoral positions in statistical genetics/genetic epidemiology available.

University of Washington, Seattle, WA.

Applications are invited for two postdoctoral positions to complement our existing projects on the genetic epidemiology of complex human genetic traits.

One position will focus on integrating information from high-throughput next generation DNA sequencing with existing genome-scan pedigree and population data for a study of schizophrenia, with the goal of identifying genetic factors that increase risk of the disease. The project will include both population-based and pedigree-based methods of analysis coupled with both novel and traditional statistical and computational analytical methods. For this position, the applicant must be authorized to work in the USA.

The second position will similarly focus on integrating information from high-throughput DNA sequencing data with a rich resource of existing genome scan and trait data that includes both pedigree and population data. The disease focus will be on Alzheimer's disease and/or autism. A component of a project with a methodological focus towards effective use of such data is also possible for the right candidate.

The ideal applicants will have excellent computing skills, strong training in statistical genetics, genetic epidemiology, or statistics/biostatistics; some background in population genetics and/or bioinformatics; and excellent proven written and verbal communication skills.

The University of Washington provides an outstanding environment for work in statistical genetics and genetic epidemiology, with activities spanning multiple departments (statistics, biostatistics, medical genetics, computer science, genome sciences, as well as many medical departments). Postdoctoral fellows have access to coursework, working groups, and journal club meetings focused on relevant topics.


  • Doctoral degree and background in: Population genetics, Quantitative genetics, Statistics, Biostatistics, or a related quantitative field.
  • Computing experience in a unix/linux environment, including strong skills with using scripting (e.g., perl or python), programming languages (e.g., C or C++), and standard statistical packages (e.g., R).
  • Knowledge of statistics and probability as well as genetics and population genetics, with sufficient background to develop or extend methods as needed, and to implement them in working programs.
  • Demonstrated excellent speaking and writing abilities.
  • Ability to work independently, yet also to work well in a collaborative environment.
  • Contact: Dr. Ellen Wijsman by email: Submit an application with a CV, statement of interest, and include the names and contact information for three references.

    For further information about Dr. Wijsman's research program, click here, and for additional information about our program of research and education in Statistical Genetics click here

    Enquiries should be sent to Dr. Ellen M. Wijsman (

    The University of Washington is building a culturally diverse faculty and strongly encourages applications from women and minority candidates. AA/EOE.