Research Computational Analyst

About the Role

The Research Computational Analyst supports computational biology and genomic research initiatives through data analysis, sequencing analytics, and software development. This role works closely with laboratory and computational scientists to support research studies and data-driven discoveries, contributing to advancing cancer research through the application of computational methods and bioinformatics tools.

Key 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.

Requirements & Tech Stack

• 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 related field.
• Experience supporting computational research projects.
• Experience analyzing biological datasets.
• Experience working with next-generation sequencing data.
• Experience performing statistical analyses.
• Experience developing visualizations.
• Experience collaborating within research environments.
• Proficiency in computational biology and bioinformatics tools.
• Familiarity with genomic analysis and comparative studies.
• Experience with long-read sequencing data analysis.
• Ability to develop and deploy computational pipelines.

Qualifications

• Experience supporting computational research projects.
• Experience analyzing biological datasets.
• Experience working with next-generation sequencing data.
• Experience performing statistical analyses.
• Experience developing visualizations.
• Experience collaborating within research environments.
• Background in computational biology, bioinformatics, computer science, statistics, or a related scientific field.