Postdoc: Pioneering Single-Cell Multi-Omics Statistics

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

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.