Postdoctoral Fellow – Statistical Genetics & Neurogenomics

Colorado State University; United States; On-site; USD 65,000 - 75,000; Full time

Job summary

Colorado State University invites applications for two postdoctoral positions in statistical genetics and genomics. The fellows will collaborate with researchers at Columbia University and CSU, spanning statistical methodology, genetics, functional genomics, and neuroscience.

The roles involve developing methods for nonlinear and context-dependent genetic regulation, analyzing large-scale human genetic data, and publishing findings. Start date flexible, salary $65,000–$75,000 per year.

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.

Responsibilities

• Develop statistical methods for genetic association and functional genomics.
• Conduct data quality assessment and analyze human genetic, genomic, and multi-omic data.
• Design and conduct simulation studies to evaluate statistical methods and interpret their finite-sample properties.
• Develop, test, and document statistical software and reproducible analyses in R, with other languages as appropriate.
• Lead preparation of manuscripts, figures, and presentations and communicate findings to collaborators.
• Define research questions, interpret results, and develop an independent research direction with supervisor.
• Follow applicable data access and confidentiality requirements.

Skills

R programming

Genetic data analysis

Education

PhD in statistics, biostatistics, statistical genetics, bioinformatics, computational biology

Tools

R

Job description

Colorado State University invites applications for two postdoctoral positions in statistical genetics and genomics. The fellows will collaborate with researchers at Columbia University and CSU, spanning statistical methodology, genetics, functional genomics, and neuroscience.

The roles involve developing methods for nonlinear and context-dependent genetic regulation, analyzing large-scale human genetic data, and publishing findings. Start date flexible, salary $65,000–$75,000 per year.