Senior Data Scientist Immunotherapy Platform

Work at UT MD Anderson on the Immunotherapy Platform (IMT), helping translate computational findings into insights on tumor-immune interactions and therapeutic response. This hybrid Senior Data Scientist role supports complex, multi-modal cancer analyses from analytical design through biological interpretation and publication. Salaries range from USD 123,000 to 185,000 per year, with an expected midpoint of USD 154,000.

What you’ll do

• Analyze high-dimensional biomedical datasets including single-cell RNA-seq, spatial transcriptomics (CosMx, Visium, CODEX), bulk RNA-seq, and clinical datasets
• Characterize the tumor microenvironment, immune cell states, and cell-cell interactions
• Integrate multi-modal data across genomic, spatial, proteomic, and clinical sources to support IMT research priorities
• Design and execute end-to-end computational analyses aligned with translational research goals
• Develop reproducible and scalable analytical workflows and reusable pipelines (for example, via GitHub)
• Use strong programming skills in Python and/or R for data processing, analysis, and workflow implementation
• Apply public cancer resources such as TCGA and GEO where appropriate
• Propose independent analytical strategies and hypotheses, and collaborate with experimental and clinical teams to refine biological questions
• Contribute biologically meaningful insights from complex datasets, including support for manuscripts with expectation of first or co-first authorship
• Support grant development through computational analysis and data interpretation
• Stay current with emerging computational biology methods and apply them to IMT datasets

Required qualifications

• Bachelor’s Degree in a related field (Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related)
• 5 years of experience in scientific software or industry programming with a focus on scientific computing
• Experience expectations also include: 3 years with a master’s degree, or 1 year with a PhD

Preferred experience

• Genomic experience
• Developing AI models
• Ability to independently lead projects
• Experience with single-cell RNA-seq and/or spatial transcriptomics
• Experience in an academic or healthcare environment

Tools and methods

• Python, R, GitHub
• TCGA, GEO
• single-cell RNA-seq, spatial transcriptomics (CosMx, Visium, CODEX), bulk RNA-seq

Compensation and employment details

• Location: Houston, TX (Hybrid Onsite/Remote)
• Employment status: Full-Time, Regular
• Work week: Days
• FLSA: Exempt, not eligible for overtime pay
• Requisition ID: 183517
• Pivotal position: Yes

Benefits

• Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance
• PTO accruals, Extended Illness Bank, and paid holidays, wellness, childcare, and other leave options
• Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups
• Defined-benefit pension through the Teachers Retirement System, plus voluntary retirement plans and employer-paid life and reduced salary protection programs
• Relocation assistance available
• Referral bonus available