Postdoctoral Fellow

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

Position Summary

Dr. Tianying Wang in the Department of Statistics at Colorado State University invites applications for two postdoctoral positions in statistical genetics and genomics. The fellow will have the opportunity to work closely with Dr. Gao Wang and his research team in the Department of Neurology at Columbia University. The postdoctoral fellow will work closely with both investigators in a collaborative research environment spanning statistical methodology, statistical genetics, functional genomics, and neuroscience. The research program includes NIH-funded work on 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. The position offers opportunities to develop new statistical methods, analyze large-scale human genetic and multi-omic data, lead methodological and applied projects, and develop an independent research direction within the broader scientific scope of the program. The position is expected to be supported for two years, with the possibility of extension based on satisfactory performance, funding availability, and mutual interest. Work authorization visa sponsorship may be available based on the specific situation, including cost, for the selected final candidate.

Full Consideration Date

For full consideration, please submit your application no later than November 1, 2026 at 11:59 MST. Applications will be collected past this date through November 15, 2026 and may be considered.

Essential Job Duties

Develop statistical methods for genetic association and functional genomics, including quantile-based analysis, fine-mapping, xQTL analysis, colocalization, or TWAS, according to project needs and research fit. 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. Work with the supervisor to define research questions, interpret results, and develop an independent research direction. Follow applicable data access and confidentiality requirements.

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.

Supervision

No supervisory duties.

Conditions of Employment

Pre-employment background check (required for all new hires). Occasional travel, approximately one week per year, may be required to support data collection activities.

Anticipated Start Date

The anticipated start date is flexible, with the position available to begin as early as January 2027 and preferably no later than August 2027.

Salary Range

$65,000 - $75,000

Employee Benefits

Employee Benefits Colorado State University is not just a workplace; it’s a thriving community that’s transforming lives and improving the human condition through world-class teaching, research, and service. With a robust benefits package, collaborative atmosphere, and focus on work-life balance, CSU is where you can thrive, grow, and make a lasting impact. Review our detailed benefits information here. Explore the additional perks of working at CSU here. For the total value of CSU benefits in addition to wages, use our compensation calculator. Lastly, click here for more information about why Fort Collins is consistently ranked in the top cities to live in!

Background Check Policy Statement

Background Check Policy Statement Colorado State University strives to provide a safe study, work, and living environment for its faculty, staff, volunteers and students. To support this environment and comply with applicable laws and regulations, CSU conducts background checks for the finalist before a final offer. The type of background check conducted varies by position and can include, but is not limited to, criminal history, sex offender registry, motor vehicle history, financial history, and/or education verification. Background checks will also be conducted when required by law or contract and when, in the discretion of the University, it is reasonable and prudent to do so.

EEO

EEO Colorado State University (CSU) provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Inspired by its land-grant heritage, Colorado State University is committed to excellence and engagement, setting the standard for public research universities in teaching, research, service and extension for the benefit of the citizens of Colorado, the United States, and the world. Prospective Employees, click here to learn more about CSU's perks and purpose. Current employees will need to apply for jobs in Workday.