Research Computational Analyst - Experimental Therapeutics
About The Position
The Research Computational Analyst supports computational biology and genomic research initiatives in the Experimental Therapeutics department at The University of Texas MD Anderson Cancer Center. The role applies computational methods and bioinformatics tools to data analysis, sequencing analytics, statistical analysis, visualization, and software development. The analyst works closely with laboratory and computational scientists to support research studies and data-driven discoveries that advance cancer research. The position supports clinical, operational, and scientific research projects; contributes to computational pipelines and algorithms; and analyzes long-read and single-cell sequencing data. Work includes genome and RNA analyses, comparative genomics, variant detection, isoform characterization, gene-expression and splicing analyses, and workflows for normalization, integration, and batch correction. The analyst also organizes project data, maintains code repositories, and supports reproducible computational workflows. This is an onsite role. The listed pay range is $25.48 to $37.98, with a midpoint of $31.73. The role offers the opportunity to collaborate with scientists and develop expertise in bioinformatics, data science, and computational biology while supporting MD Anderson’s mission to eliminate cancer.
Requirements
- Bachelor’s degree in Biology, Biochemistry, Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, Biostatistics, Bioinformatics, Data Science, Genome Science, or a related field.
- Required work experience: None.
Responsibilities
- Assist in data processing and analysis using existing algorithms under direct supervision.
- Provide computational support for clinical, operational, and scientific research projects.
- Work with laboratory and computational scientists to design experiments and interpret results.
- Stay current with scientific literature and present innovative ideas.
- Provide statistical and data visualization support for ongoing research projects.
- Organize project data and maintain developed code repositories.
- Assist in developing computational pipelines, algorithms, and software.
- Develop pipelines and methods for genome and RNA data analysis.
- Deploy de novo genome assembly methods and perform variant detection using long-read sequencing data.
- Characterize isoforms and aberrant gene-expression patterns; analyze alternative splicing, gene fusion, and structural rearrangement events.
- Analyze bulk and single-cell long-read sequencing data and perform comparative genomic analyses.
- Assist in creating algorithms that integrate short-read and long-read single-cell sequencing results.
- Support variant detection, isoform identification, and quantification.
- Develop normalization, integration, and batch-correction workflows for single-cell data analysis.
- Support departmental research objectives and computational initiatives.
- Maintain organized and reproducible computational workflows.
- Perform other duties as assigned.
Benefits
- Employer-paid medical coverage starting on the first day for employees working 30 or more hours per week.
- Optional group dental, vision, life, AD&D, and disability insurance.
- PTO and Extended Illness Bank accruals.
- Paid holidays and other leave options, including wellness and childcare leave.
- Tuition Assistance Program after six months of service.
- Wellness and fitness resources and employee resource groups.
- Defined-benefit pension through the Teachers Retirement System.
- Voluntary retirement plans.
- Employer-paid life and reduced salary protection programs.
- Educational opportunities and individual and team recognition.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
