Postdoc in Statistical Genetics & Genomics

Colorado State University; Fort Collins (CO); On-site; USD 65,000 - 75,000; Full time

Job summary

Colorado State University in Fort Collins invites applications for two postdoctoral positions in statistical genetics and genomics. The fellow will collaborate with Dr.

Gao Wang in Neurology at Columbia University and work on nonlinear and context-dependent genetic regulation in Alzheimer's disease and aging. The position offers opportunities to develop new statistical methods, analyze large-scale human genetic and multi-omic data, and develop an independent research direction over a two-year

Qualifications

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

Responsibilities

• Develop statistical methods for genetic association and functional genomics, including quantile-based analysis, fine-mapping, xQTL analysis, colocalization, or TWAS, as project needs.
• Analyze human genetic, genomic, and multi-omic data and perform data quality assessment.
• Design and conduct simulation studies to evaluate methods and interpret finite-sample properties.
• Develop, test, and document statistical software in R and other languages as appropriate.
• Lead preparation of manuscripts, figures, and presentations; communicate findings to collaborators.

Skills

R

Education

Ph.D. in statistics or related field

Tools

Linux/HPC computing

Job description

Colorado State University in Fort Collins invites applications for two postdoctoral positions in statistical genetics and genomics. The fellow will collaborate with Dr.

Gao Wang in Neurology at Columbia University and work on nonlinear and context-dependent genetic regulation in Alzheimer's disease and aging. The position offers opportunities to develop new statistical methods, analyze large-scale human genetic and multi-omic data, and develop an independent research direction over a two-year