Postdoctoral Fellow: Statistical Genetics & Genomics

Statistics Interest Group; Fort Collins (CO); Hybrid; USD 65,000 - 75,000; Full time

Job summary

Colorado State University’s Department of Statistics invites applications for two full‑time postdoctoral fellow positions in statistical genetics and genomics in Fort Collins, CO. Fellows will collaborate with Columbia University and develop methods for Alzheimer's research while analyzing large-scale genetic data.

The roles require a PhD in a quantitative field, proficiency in R, and strong background in statistics. Two-year positions with potential extension, start as early as January 2027.

Qualifications

• PhD in statistics, biostatistics, statistical genetics, bioinformatics, computational biology, or related quantitative field.
• Strong statistical training or experience analyzing human genetic/genomic data.
• Experience developing statistical methods for genetic/genomic studies is a plus.

Responsibilities

• Develop statistical methods for nonlinear and context-dependent genetic regulation.
• Analyze large-scale human genetic, genomic, and multi-omic data.
• Develop documented software and reproducible analyses; prepare manuscripts and presentations.

Skills

R proficiency

Statistical genetics

Genomic data analysis

Education

PhD in statistics/related field

Tools

Linux HPC

Job description

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Colorado State University, Department of Statistics – Postdoctoral Fellow, Department of Statistics

Position Title Postdoctoral Fellow, Department of Statistics

Company Information

Duties and Responsibilities

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.

Position Qualifications

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.

Salary Range $65,000–$75,000

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.

Apply through the official CSU Workday posting linked above. Upload one PDF containing, in this order:
1. A complete curriculum vitae;
2. A research statement describing your previous research experience and current research interests.

Upload the combined PDF under “Resume/CL.” The maximum file size is 5 MB. Application materials should demonstrate how your background aligns with the required and preferred qualifications. Documents cannot be modified or added after submission, so please review your materials carefully before submitting.

Three letters of recommendation will be required for finalist candidates. Finalists will receive instructions to provide contact information for three professional references, who will then be contacted directly.

For full consideration, submit your application by November 1, 2026. Applications will be collected through November 15, 2026 and may be considered. Please consult the official posting for complete requirements and deadline details.

Questions about the application process may be directed to Tianying Wang at [e-mail].