Postdoctoral Fellow, Department of Statistics

Colorado State University is a public land-grant research university located in Fort Collins, Colorado, committed to excellence in teaching, research, service, and extension. These positions are based in the Department of Statistics.

Dr. Tianying Wang in the Department of Statistics at Colorado State University invites applications for two postdoctoral positions in statistical genetics and genomics. The fellows will have the opportunity to work closely with Dr. Gao Wang and his research team in the Department of Neurology at Columbia University.

The research program includes developing statistical methods to study nonlinear and context-dependent genetic regulation in Alzheimer's disease and the aging brain, as well as related research in statistical genetics and functional genomics. Responsibilities include developing statistical methods; analyzing large-scale human genetic, genomic, and multi-omic data; conducting simulation studies; developing documented software and reproducible analyses; and preparing manuscripts and presentations. Fellows will also have opportunities to develop an independent research direction within the program’s broader scientific scope.

The positions are full-time and on-site in Fort Collins. Support is expected for two years, with possible extension based on satisfactory performance, funding availability, and mutual interest. The anticipated start date is flexible, as early as January 2027 and preferably no later than August 2027.

Minimum Qualifications:

• - Ph.D. in statistics, biostatistics, statistical genetics, bioinformatics, computational biology, or a closely related quantitative field, completed by the start of the appointment.
• - Proficiency in R.
• - Strong statistical training or substantive experience analyzing human genetic or genomic data.

Preferred Qualifications:

• - Experience developing statistical methods for genetic or genomic studies.
• - Experience in one or more of the following: genetic association analysis, fine-mapping, xQTL analysis, colocalization, TWAS, or genetic and multi-omic data integration.
• - Experience with reproducible scientific computing, documented software, or Linux/HPC computing.
• - Ability to communicate research findings clearly through scientific writing or presentations.
• - Candidates need not have experience in every listed method or data type.

Please see the official CSU job posting for employee benefits information. Work authorization visa sponsorship may be available based on the specific situation, including cost, for the selected final candidate.

Applications will be collected through November 15, 2026 and may be considered.