Senior Computational Biologist - Oncology Analytics

The University Of Chicago; Chicago, Northern (IL, KY); Hybrid; 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

• Education: college or university degree in related field.
• Work Experience: 2–5 years in related job discipline.
• Preferred: MS degree in computer science and bioinformatics.
• Experience with Python, Perl, or other programming languages for computational biology, bioinformatics, or biological data analysis.
• Experience with Unix/Linux environments and cloud or high-performance computing resources.

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.
• Evaluates existing approaches and modifies methods as needed to address specific research questions and data requirements.
• 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

Python

R

Perl

Data analysis

Education

Bachelor's degree or higher in related field

MS degree in computer science and bioinformatics

Tools

Unix/Linux environments

Cloud HPC resources

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