Postdoc: AI-Driven Cancer Multi-Omics & Imaging

MD Anderson Cancer Center; Houston (TX); On-site; USD 64,000 - 76,000; Full time

Benefits offered by this job

Excellent health benefits

Paid time off

Tuition benefits

Educational opportunities

Job summary

A leading healthcare institution in Houston, Texas, is seeking a postdoctoral fellow to join a collaborative lab focusing on advanced computational biology. The successful candidate will develop rigorous statistical methods, build AI models, and conduct integrative genomic research. This position offers a salary range of $64,000 to $76,000 and extensive benefits, including medical and educational opportunities. Ideal candidates will possess a Ph.D. and strong skills in computational research and communication.

Qualifications

• Solid training in statistics and mathematics.
• Strong computational skills including development of AI workflows.
• Experience in genomic data and biological interpretation.
• Proven academic writing ability through publications.

Responsibilities

• Develop statistical models for multi-modality cancer datasets.
• Build AI pathology models to support molecular interpretation.
• Create automated workflows for data analysis.
• Conduct integrative modeling of 3D genome organization.

Skills

Statistical and machine learning methods

AI workflows

Computational tools development

Genomic data analysis

Programming in R, Python, and Shell

Strong communication

Education

Ph.D. in Computer Science, Statistics, Biostatistics, Bioinformatics, Computational Biology, Engineering, Data Science

Tools

High-performance computing environments

Job description

A leading healthcare institution in Houston, Texas, is seeking a postdoctoral fellow to join a collaborative lab focusing on advanced computational biology. The successful candidate will develop rigorous statistical methods, build AI models, and conduct integrative genomic research. This position offers a salary range of $64,000 to $76,000 and extensive benefits, including medical and educational opportunities. Ideal candidates will possess a Ph.D. and strong skills in computational research and communication.