Postdoc: Integrative Omics for Microbiome & scRNA-seq

The International Society for Bayesian Analysis; College Station (TX); On-site; USD 50,000 - 70,000; Full time

Job summary

A prominent educational institution in College Station, Texas, is seeking a highly motivated postdoctoral fellow. You will develop statistical methodologies addressing microbiome data and engage with interdisciplinary projects. A Ph.D. in a relevant quantitative field is required, along with programming skills in R or MATLAB, and preferably C++. This position offers renewal based on performance and provides a collaborative research environment.

Qualifications

• Highly motivated individual with a Ph.D. required.
• Familiarity with microbiome data analysis and high-dimensional statistics.
• Good communication and writing skills expected.

Responsibilities

• Develop novel statistical methodology in comparative integrative omics.
• Analyze microbiome data and single-cell RNA-seq data.
• Engage with the broader mission of TAMIDS up to one day per week.

Skills

Statistical methodology development

Microbiome data analysis

Single-cell RNA-seq

Programming in R

Programming in MATLAB

Communication skills

Education

Ph.D. in statistics, biostatistics, machine learning or related field

Tools

C++

Job description

A prominent educational institution in College Station, Texas, is seeking a highly motivated postdoctoral fellow. You will develop statistical methodologies addressing microbiome data and engage with interdisciplinary projects. A Ph.D. in a relevant quantitative field is required, along with programming skills in R or MATLAB, and preferably C++. This position offers renewal based on performance and provides a collaborative research environment.