Postdoc at Texas A&M (PI: Yang Ni)

The International Society for Bayesian Analysis; College Station (TX); On-site; USD 55,000 - 70,000; Full time

Benefits offered by this job

Highly competitive salary

Benefits package

Job summary

A research institution in College Station is seeking a highly motivated postdoctoral researcher to develop new statistical and bioinformatics methods for single-cell multi-omic data. The role involves collaboration with biomedical scientists to identify cell types and gene regulatory networks. Candidates should hold a Ph.D. in relevant fields and possess strong programming and communication skills. A competitive salary and benefits are anticipated, with a negotiable start date.

Qualifications

• Ph.D. required in relevant quantitative fields.
• Familiarity with statistical/bioinformatics methods.
• Good writing skills are necessary.

Responsibilities

• Develop new statistical/bioinformatics methods and pipelines for single-cell multi-omic data.
• Identify cell types, gene regulatory networks, and dependencies across modalities.
• Collaborate with biomedical scientists on research projects.

Skills

Motivation

Programming skills

Good communication skills

Knowledge of multi-omics

Familiarity with graphical models

Data integration skills

Understanding of Bayesian statistics

Education

Ph.D. in statistics, biostatistics, bioinformatics, computer science, or a related quantitative field

Job description

Duties and Responsibilities: This position is funded by a newly awarded R01 grant from NIGMS of NIH. The postdoc will be primarily supervised by Dr. Yang Ni in the Department of Statistics. The primary responsibility of the postdoc is to develop new statistics/bioinformatics methods and pipelines for single-cell multi-omic data. The research projects will focus on (though not limited to) identifying cell types, gene regulatory networks, latent trajectories, and dependencies among cells and across single-cell modalities. The postdoc will have the opportunity to collaborate with biomedical scientists. The position is initially for one year and can be renewed for a second/third year, subject to satisfactory progress. Highly competitive salary and benefits are anticipated. The starting date is negotiable.

Position Qualifications: The candidate should be a highly motivated individual with a Ph.D. in statistics, biostatistics, bioinformatics, computer science, or a related quantitative field. The candidate should be familiar with one or more of the following fields: multi-omics, graphical models, data integration, and Bayesian statistics, and should have good programming skills. 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-SC-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.