Computational Biology Sr. Analyst

Department BSD CCC - Computational Oncology Unit

The University of Chicago Medicine Comprehensive Cancer Center (UCCCC) is an integral component of the Biological Sciences Division (BSD). The BSD is the largest of four Divisions of the University and includes the Pritzker School of Medicine. UCCCC administers four established scientific programs, and the NCI-sponsored Cancer Center Support Grant funds ten Shared Resources. The Comprehensive Cancer Center comprises over 200 faculty members from twenty departments, with members currently being awarded over $51million in total direct costs in peer-reviewed cancer research grants, and $24 million in non-peer-reviewed grants and contracts.

The activities of the Center are broad and varied, including research, training and education, marketing and communications, fundraising, data analytics, clinical trials management, and community outreach and engagement. The UCCCC has one of the largest cancer clinical trials programs in the country and in the Chicago area, with more than 450 adult and pediatric therapeutic trials actively accruing patients. Many of these studies are investigator-initiated, including Phase I or I/II trials, demonstrating UCCCC's commitment to translating basic research findings to the clinic through proof-of-principle and early-phase studies.

UCCCC opens over 130 new trials each year and accrues approximately 800 participants to therapeutic trials each year.

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.

• 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.

• Education:
  
  Minimum requirements include a college or university degree in related field.
• Work Experience:
  
  Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
• Certifications:
  
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• Education:
  
  MS degree in computer science and bioinformatics.
• Experience:
  
  Experience using Python, Perl, or other programming languages for computational biology, bioinformatics, or biological data analysis.
• Experience:
  
  Experience working in Unix/Linux environments and utilizing cloud or…