Postdoc Position available at Texas A&M

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

Overview

Duties and Responsibilities: This position is funded by a joint initiative between the Department of Statistics, the Department of Nutrition and Food Science, and the Texas A&M Institute of Data Science (TAMIDS). The postdoctoral fellow will work under the multidisciplinary supervision of Drs. Raymond Carroll, Irina Gaynanova and Yang Ni in the Department of Statistics and Dr. Robert Chapkin in the Department of Nutrition and Food Science. The primary responsibility of the postdoc is to develop novel statistical methodology in comparative integrative omics. The research focus will address statistical issues in analyzing microbiome data, single-cell RNA-seq data, modeling host heterogeneity, integrating data from multiple sources, and identifying key functionalities in host and microbial community-wide networks. In addition, the postdoctoral fellow will engage with the broader mission of TAMIDS for up to one day per week on average. The TAMIDS duties are expected to be flexible. Examples of such engagements include: consulting or collaborating with researchers or graduate students in their area to help integrate Data Science into their projects, advising graduate student interdisciplinary Data Science team projects, or creating and teaching a short course related to their research. The position can be renewed for a second year, subject to satisfactory progress.

Position Qualifications

The candidate should be a highly motivated individual with a Ph.D. in statistics, biostatistics, machine learning or a related quantitative field. The candidate should be familiar with one or more of the following fields: microbiome data analysis, scRNA-seq, graphical models, data integration, high-dimensional statistics, and Bayesian hierarchical/mixture models. Programming skills in R or MATLAB and preferably one lower level computer language such as C++ are required. The candidate should also have good communication and writing skills.

Application Information

Interested applicants should send a CV and three letters of reference to: [e-mail] (subject line: Ni-postdoc)

Texas A&M University is an equal opportunity/affirmative action employer. The university is dedicated to the goal of building a culturally diverse and pluralistic faculty and staff committed to teaching and working in a multicultural environment and strongly encourages applications from women, minorities, individuals with disabilities and veterans. We are interested in candidates who can contribute to the diversity of the academic community through their research, teaching and/or service.