Bioinformatics Postdoc: AI-Driven Cancer Data Science Fellow

UT Health - McWilliams School of Biomedical Informatics; Houston (TX); On-site; USD 60,000 - 70,000; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

UT Health - McWilliams School of Biomedical Informatics in Houston seeks a Bioinformatics Postdoctoral Fellow in the DSICCR under Dr. W. Jim Zheng. The role emphasizes protein structure prediction, data analysis pipelines, and cross-disciplinary collaboration.

Applicants should have a strong background in chemistry and structural biology, with experience in data analysis and programming. The position offers a rich research environment with access to HPC resources and comprehensive benefits.

Qualifications

• Strong background in chemistry, structural biology, and drug screening/development.
• Experience in protein structure analysis and published research.
• Experience with experimental structural methods (cryo-EM, X-ray crystallography, or NMR) preferred.
• Programming skills and expertise in bioinformatics and quantitative analysis.
• Excellent teamwork and ability to develop collaborations.

Responsibilities

• Apply chemistry and structural biology skills to study design, data collection, analysis pipeline development, data analysis, algorithm development, results interpretation, manuscript writing and proposal development for protein structure prediction projects.
• Collaborate with UTHealth and external faculty to foster interdisciplinary AI and data science research.

Skills

Chemistry

Structural biology

Data analysis

Programming

Bioinformatics

Collaboration

Education

PhD in a related field

Tools

Hadoop cluster

Nvidia GPU servers

HPC clusters

Job description

UT Health - McWilliams School of Biomedical Informatics in Houston seeks a Bioinformatics Postdoctoral Fellow in the DSICCR under Dr. W. Jim Zheng. The role emphasizes protein structure prediction, data analysis pipelines, and cross-disciplinary collaboration.

Applicants should have a strong background in chemistry and structural biology, with experience in data analysis and programming. The position offers a rich research environment with access to HPC resources and comprehensive benefits.