Senior Data Scientist, Immunotherapy Platform (Hybrid/Remote)

UT MD Anderson Cancer Center; Texas; Hybrid; USD 123,000 - 185,000; Full time

Benefits offered by this job

Employer-paid medical coverage (day 1)

PTO & holidays

Tuition Assistance

Pension / retirement plans

Job summary

UT MD Anderson Cancer Center seeks a Senior Data Scientist (Computational Biology) to lead analyses of multi-modal cancer datasets and drive translational research in the Immunotherapy Platform. The role involves designing, executing, and interpreting analyses from data to publication, collaborating with clinicians and researchers.

The ideal candidate has strong computational experience across multi-modal omics data, single-cell and spatial transcriptomics, with experience in academic or

Qualifications

• Bachelor’s degree required in a relevant science/engineering field.
• Five years of experience in scientific software or industry programming with a concentration in scientific computing; with Master’s degree, three years; with PhD, one year.
• Experience with genomic and clinical datasets is preferred.

Responsibilities

• Analyze high-dimensional biomedical datasets including single-cell RNA-seq, spatial transcriptomics, bulk RNA-seq and clinical datasets.
• Characterize tumor microenvironment, immune cell states, and cell–cell interactions.
• Integrate multi-modal datasets and develop reproducible analytical workflows.
• Propose independent analytical strategies and collaborate with experimental teams.
• Contribute to manuscripts with potential for first or co-first authorship.

Skills

Python

R

Multi-omics data

Single-cell transcriptomics

Spatial transcriptomics

Education

Bachelor’s Degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field

PhD in Science, Engineering or related field

Tools

CosMx

Visium

CODEX

Job description

UT MD Anderson Cancer Center seeks a Senior Data Scientist (Computational Biology) to lead analyses of multi-modal cancer datasets and drive translational research in the Immunotherapy Platform. The role involves designing, executing, and interpreting analyses from data to publication, collaborating with clinicians and researchers.

The ideal candidate has strong computational experience across multi-modal omics data, single-cell and spatial transcriptomics, with experience in academic or