Research Computational Analyst - Experimental Therapeutics

Research Computational Analyst

The University of Texas MD Anderson Cancer Center is a world-renowned academic cancer center dedicated to ending cancer through exceptional patient care, innovative research, prevention programs, and education. Through multidisciplinary collaboration, the institution advances discoveries that improve outcomes for patients locally and globally.

The Experimental Therapeutics department focuses on translational and laboratory-based research aimed at developing and advancing novel cancer therapies. The Research Computational Analyst supports computational biology and genomic research initiatives through data analysis, sequencing analytics, and software development. The Research Computational Analyst works closely with laboratory and computational scientists to support research studies and data-driven discoveries.

The Research Computational Analyst contributes to advancing cancer research through the application of computational methods and bioinformatics tools.

The ideal candidate will have a background in computational biology, bioinformatics, computer science, statistics, or a related scientific field, along with experience supporting computational research projects, analyzing biological datasets, working with next-generation sequencing data, performing statistical analyses, developing visualizations, and collaborating within research environments.

Minimum $25.48 - Midpoint $31.73 - Maximum $37.98

Work Location: Onsite

Why Us?

At UT MD Anderson, this role directly supports pioneering cancer research by providing computational expertise for genomic and sequencing-based studies. The position offers opportunities to collaborate with leading scientists, contribute to innovative discoveries, and develop specialized expertise in bioinformatics, data science, and computational biology while supporting the institution's mission to eliminate cancer.

• Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance.
• Accruals for PTO and Extended Illness Bank, plus 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, voluntary retirement plans, and employer-paid life and reduced salary protection programs.

Responsibilities

• Computational Research Support
• Assist in data processing and analysis using existing algorithms under direct supervision.
• Provide computational support for clinical, operational, and scientific research projects.
• Work closely with laboratory and computational scientists in designing experiments and interpreting results.
• Remain current with scientific literature and present innovative ideas.
• Provide advanced statistical support for ongoing research projects.
• Provide data visualization support for ongoing research projects.
• Organize project data and maintain developed code repositories.
• Next-Generation Sequencing Analysis
• Assist in the development of computational pipelines.
• Assist in the development of algorithms and software.
• Develop pipelines for genome data analysis.
• Develop pipelines for RNA data analysis.
• Develop novel methods for genome data analysis.
• Develop novel methods for RNA data analysis.
• Deploy de novo genome assembly methodologies using long-read sequencing data.
• Perform variant detection utilizing long-read sequencing data.
• Characterize isoforms and aberrant gene expression patterns.
• Analyze alternate splicing, gene fusion, and structural rearrangement events.
• Genomic Analysis & Comparative Studies
• Analyze long-read sequencing data at the bulk sequencing level.
• Analyze long-read sequencing data at the single-cell sequencing level.
• Perform comparative genomic analyses.
• Single-Cell Sequencing Analysis
• Assist in creating algorithms that integrate short-read and long-read single-cell sequencing results.
• Support comprehensive variant detection efforts.
• Support isoform identification and quantification activities.
• Develop normalization workflows for single-cell data analysis.
• Develop integration workflows for single-cell data analysis.
• Develop batch correction workflows for single-cell data analysis.
• Additional Responsibilities
• Support departmental research objectives and computational initiatives.
• Maintain organized and reproducible computational workflows.
• Perform other duties as assigned.
• EDUCATION
• Required: Bachelor's Degree Biology, Biochemistry, Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, Biostatistics, Bioinformatics, Data Science, Genome Science or related field.
• WORK EXPERIENCE
• Required: None
• The University of Texas MD Anderson Cancer Center offers excellent