Postdoctoral Fellow

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 Alzheimers 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.

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.

• 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.
  

• 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.

• 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.

No supervisory duties.

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

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

Please read the following instructions carefully and submit all required application materials.

To apply pleaseupload one single PDF containing all required application materials listed below in the order provided.Your materials should clearly outline your work experience education and other relevant qualifications and demonstrate how your background aligns with the required and preferred qualifications outlined in the posting.

The required application materials include:

• A complete curriculum vitae;
• A research statement describing your previous research experience and current research interests

Important:The single PDF containing all application materials must be uploaded under the section labeledResume/CL.Please combine all materials into one PDF and ensure they are included in the specified order. System limitations allow for a 5MB document upload. You will not be able to modify or add documents after submitting your application so please carefully review your materials before submitting.Failure to submit the required materials as instructed may affect consideration of your application.

Please note that three letters of recommendation will be required for finalist candidates. Finalists will receive an email with instructions to provide the contact information forthree professional references. To help avoid delays in the search process please complete this step as soon as possible.

Once reference contact information is submitted each reference will be contacted directly to provide a letter of recommendation. The communication sent to each reference will include the deadline for submitting the letter.

If you have any questions about the application process please contact Tianying Wang at

To apply please upload the following applicant documents. Ensure your materials fully address the required and preferred job qualifications of the position. Please note applicants may redact information from their application materials that identifies their age date of birth or dates of attendance at or graduation from an educational institution.

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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 regulationsCSUconducts 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.

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.