Data Scientist, Spatial & Single-Cell Omics (Hybrid)

University of Texas MD Anderson Cancer Center; Houston (TX); Hybrid; USD 69,000 - 103,000; Full time

Benefits offered by this job

Health insurance and dental options

Vision insurance

Tuition assistance

Job summary

The University of Texas MD Anderson Cancer Center seeks a highly motivated Data Scientist to develop and optimize spatial multi-omics pipelines, covering transcriptomics, proteomics, metabolomics, and genomics. You will lead pipeline development, collaborate across teams, and contribute to data-driven cancer research.

Ideal candidates have a strong computational background, programming experience, and a track record in bioinformatics workflow development, with opportunities to present at

Qualifications

• Bachelor's degree required in a related field (Biomedical Engineering, Electrical/Computer Engineering, Physics, Applied Math, CS, Computational Biology).
• Preferred: Master's degree in a related field.

Responsibilities

• Design, develop, and optimize single-cell and spatial omics data analysis pipelines.
• Benchmark methods to ensure best practices and reproducibility.
• Ensure scalability to handle large, complex datasets.
• Develop interactive web portals for data exploration and visualization.
• Collaborate with teams and provide training workshops.
• Contribute to manuscripts and grant preparations.

Skills

Data science

Programming

Bioinformatics

Single-cell omics

Spatial omics

Education

Bachelor's Degree in Biomedical Engineering or related field

Master's Degree preferred

Tools

Python

R

Data analysis pipelines

Web portal visualization

Job description

The University of Texas MD Anderson Cancer Center seeks a highly motivated Data Scientist to develop and optimize spatial multi-omics pipelines, covering transcriptomics, proteomics, metabolomics, and genomics. You will lead pipeline development, collaborate across teams, and contribute to data-driven cancer research.

Ideal candidates have a strong computational background, programming experience, and a track record in bioinformatics workflow development, with opportunities to present at