Computational Biology Sr. Analyst

University of Chicago•Chicago, IL

1d•Onsite

About The Position

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 crucial questions in cancer biology. The role will involve administering programs and supporting all phases of computational biology activities by devising or modifying procedures to solve complex problems.

Requirements

Minimum requirements include a college or university degree in related field.
Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

Nice To Haves

MS degree in computer science and bioinformatics.
Experience using Python, Perl, or other programming languages for computational biology, bioinformatics, or biological data analysis.
Experience working in Unix/Linux environments and utilizing cloud or high-performance computing resources.
Experience analyzing high-throughput genomic datasets, including RNA sequencing, next-generation sequencing (NGS), whole-exome sequencing (WES), or Hi-C data.
Experience developing, implementing, or maintaining bioinformatics workflows and computational pipelines.
Experience with imaging informatics or analysis of imaging-related datasets.
Strong analytical and problem-solving skills with the ability to evaluate complex biological data and develop appropriate computational approaches.
Proficiency in applicable programming and statistical analysis tools, including R and Python.
Knowledge of bioinformatics methods, computational biology principles, and genomic data analysis.
Knowledge of Unix/Linux environments and cloud or high-performance computing resources.
Strong attention to detail with the ability to develop, validate, document, and maintain accurate and reproducible computational workflows.
Strong organizational and communication skills with the ability to work independently and collaborate effectively with investigators, computational scientists, and multidisciplinary research teams.

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.