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Postdoctoral Research Associate in Statistical Modeling for Single-Cell Multi-Omic Data Texas A&M University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral staff position with salary commensurate with education and experience. Texas A&M provides employee benefits including medical, dental, vision, life, disability insurance, paid holidays, sick leave, vacation, retirement enrollment, professional development access, and tuition assistance.
Country
United States
University
Texas A&M University

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About this position
Texas A&M University’s Department of Statistics is recruiting a Postdoctoral Research Associate in College Station, Texas, United States.
The project focuses on statistical modeling and advanced computational methods for single-cell multi-omic data, with collaboration alongside life science researchers. Research tasks include clustering, differential expression analysis, predictive modeling, and trajectory inference to study cellular processes and answer complex biological questions.
Academic background: an appropriate PhD in a related field is required. Strong candidates will have experience with Bayesian analysis, MCMC computation, Bayesian modeling, bioinformatics, and clustering. The role may also involve mentoring graduate students working on related research.
Funding and benefits: salary is commensurate with education and experience. Texas A&M lists employee benefits such as medical, dental, vision, life and disability insurance, paid holidays, sick leave, vacation, retirement enrollment, professional development resources, and tuition assistance.
How to apply: submit a cover letter and CV/resume through the university’s Workday application portal. Make sure all application data is complete or upload a complete resume to avoid an invalid submission.
Funding details
Postdoctoral staff position with salary commensurate with education and experience. Texas A&M provides employee benefits including medical, dental, vision, life, disability insurance, paid holidays, sick leave, vacation, retirement enrollment, professional development access, and tuition assistance.
What's required
An appropriate PhD in a related field is required. Preferred experience includes Bayesian analysis, MCMC computation, Bayesian modeling, bioinformatics, and clustering. The role may involve mentoring graduate students.
How to apply
Submit a cover letter and CV/resume through the Texas A&M Workday application portal. Ensure all application data is complete or attach a complete resume to avoid rejection.
More information can be found here
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