Senior Computational Biologist - Oncology Analytics

University of Chicago; United States; On-site; USD 65,000 - 90,000; Full time

Job summary

The University of Chicago's Computational Oncology Unit seeks a Computational Biology Sr. Analyst to assist the Computational Oncology Core with biological data analysis. The Sr.

Analyst will utilize computational tools to process, transform, visualize, and analyze datasets primarily derived from high-throughput experiments. We seek a highly motivated computational biologist to collaborate with a multidisciplinary team to develop innovative computational algorithms and approaches to address

Qualifications

• MS degree in computer science and bioinformatics preferred.
• Experience with Python, Perl, or other programming languages for computational biology.
• Experience in Unix/Linux environments and cloud/high-performance computing resources.
• Experience analyzing high-throughput genomic datasets (RNA-seq, NGS, WES, Hi-C).
• Experience developing, implementing, or maintaining bioinformatics workflows and computational pipelines.
• Strong analytical and communication skills.

Responsibilities

• Applies and develops computational and bioinformatics approaches to process, analyze, interpret, and visualize complex oncology and biological datasets.
• Develops, implements, and maintains bioinformatics workflows and pipelines to support cancer research and other computational biology projects.
• Uses R, Python, and other applicable computational tools to perform statistical analyses, data processing, visualization, and interpretation of oncology and biological data.
• Develops and applies algorithms, computational methods, and software solutions to identify, characterize, and classify biological features, patterns, and relationships within complex datasets.
• Implements, modifies, and supports web-based bioinformatics tools and computational applications.
• Troubleshoots technical issues and identifies opportunities to improve functionality, efficiency, and usability.
• Collaborates with investigators, computational scientists, research staff, and other multidisciplinary team members to understand research objectives, define analytic requirements, and develop appropriate computational approaches.
• Supports the interpretation and communication of analytic results through the development of figures, visualizations, summaries, and other materials for research presentations, manuscripts, reports, and related scientific activities.
• Performs quality control and validation of computational analyses, workflows, and outputs to support data accuracy, consistency, and reproducibility.
• Maintains clear documentation of computational methods, code, pipelines, data processing procedures, and analytic outputs in accordance with established research and data management practices.
• Stays current with emerging computational biology, bioinformatics, and data science methods and evaluates their potential application to ongoing oncology research.
• Participates in creating data algorithms and specialized computer software to identify and classify components of a biological system (i.e. DNA and protein sequences).
• Interprets data analysis of high throughput genomics, proteomics and genetic data.
• Performs other related work as needed.

Skills

R

Python

Bioinformatics

Computational Biology

Education

MS in computer science and bioinformatics

Tools

Unix/Linux

Cloud computing

High-performance computing

Job description

The University of Chicago's Computational Oncology Unit seeks a Computational Biology Sr. Analyst to assist the Computational Oncology Core with biological data analysis. The Sr.

Analyst will utilize computational tools to process, transform, visualize, and analyze datasets primarily derived from high-throughput experiments. We seek a highly motivated computational biologist to collaborate with a multidisciplinary team to develop innovative computational algorithms and approaches to address