Postdoctoral Fellow: Spatial Genomics & Multi-Omics ML

Statistics Interest Group; Houston (TX); On-site; USD 63,000 - 77,000; Full time

Benefits offered by this job

Medical insurance

Vacation and sick leave

MD Anderson benefits

Job summary

The University of Texas MD Anderson Cancer Center in Houston invites applications for a Postdoctoral Research Position in Biostatistics. The Fellow will join a dynamic research group and develop independent lines of inquiry in spatial statistics for omics data.

Mentored by Dr. Lulu Shang in the Department of Biostatistics, you will design scalable methods, build DL and generative modeling frameworks, and contribute open-source software.

Qualifications

• Recent Ph.D. with training in quantitative fields and statistics.
• Strong foundations in statistical modeling and ML for genomics.
• Proficiency in Python, R, or C++ for data analysis.
• Interest in developing new statistical methodology for genomics.

Responsibilities

• Develop scalable statistical methods for spatial transcriptomics analysis.
• Build deep learning and generative modeling frameworks for spatial multi-omics data.
• Create computational tools for single-cell RNA sequencing analysis.
• Apply methods to large cancer genomics datasets with clinical collaborators.

Skills

Statistical modeling

Machine learning

High-dimensional data analysis

Python/R/C++

Education

Ph.D. in Biostatistics/Statistics/CS/Bioinformatics/Computational Biology

Tools

Python

R

C++

Job description

The University of Texas MD Anderson Cancer Center in Houston invites applications for a Postdoctoral Research Position in Biostatistics. The Fellow will join a dynamic research group and develop independent lines of inquiry in spatial statistics for omics data.

Mentored by Dr. Lulu Shang in the Department of Biostatistics, you will design scalable methods, build DL and generative modeling frameworks, and contribute open-source software.