Postdoctoral research scientist in statistical genetics

A postdoctoral scientist position in Statistical Genetics is available at the Center for Statistical Genetics, Department of Neurology, Columbia University, New York, NY.

The candidate is expected to work on one or more of the following concentrations:

  • Developing statistical methods to analyze complex traits, e.g. approaches to detect pleiotropy and interactions using sequence, imputed, family and population-based data.
  • Developing statistical and computational methods for data integration in genetic association studies and functional genomics.
  • Analyzing complex traits e.g. late-onset Alzheimer’s disease, age-related hearing impairment, tinnitus, lipids, asthma, and obesity.

The successful candidate will also write and publish manuscripts and give presentations at international meetings.

Applicants should have a Ph.D. or related degree in computational biology, data science/statistics/biostatistics, bioinformatics, computer science, epidemiology, or other computational related fields. Must have excellent working knowledge in one or more programming languages e.g. R, Python or C/C++. Previous experience analyzing large scale genomic data is highly desirable.

Faculty at Center for Statistical Genetics are dedicated to training and aiding in career development of trainees. Postdocs will benefit tremendously from the research environment at Columbia Neurology in becoming competitive at various career opportunities, including the K99 Award.

Please email your curriculum vitae, research statement and the names and contact information for four references to Dr. Suzanne Leal (sml3 [at] cumc.columbia.edu) and Dr. Gao Wang (gw2411 [at] cumc.columbia.edu) with the header Statistical Genetics Postdoc.

Last modified on 13 January 2020, at 22:53