This job was posted by https://illinoisjoblink.illinois.gov : For more information, please see: https://illinoisjoblink.illinois.gov/jobs/12408284 Department

BSD CCC - Computational Oncology Unit

About the Department

The University of Chicago 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 provides funding for ten Shared Resources. The Comprehensive Cancer Center is comprised of over 190 faculty members from twenty departments with members currently being awarded over \$47 million in total direct costs in peer-reviewed cancer research grants, and \$28 million in non-peer reviewed grants and contracts. The activities of the Center are broad and varied, including research, training and education, communications, fundraising, marketing, clinical trials management and community outreach.

UCCCC has one of the largest cancer clinical trials programs in the country and in the Chicago area with nearly 500 adult and pediatric therapeutic trials actively accruing patients. Many of these studies are investigator-initiated, including Phase I or I/II trials, demonstrating UCCCC commitment to translate basic research findings to the clinic through proof-of-principle and early phase studies. UCCCC opens over 250 new trials each year and accrues approximately 900 participants to therapeutic trials each year.

Job Summary

The job administers programs and support all phases of bioinformatics activities by helping devise or modify procedures to solve complex problems.

Responsibilities

• Develops AI-driven bioinformatics and GIS Tools: Design and build advanced platforms for rapidly and efficiently identifying health disparities and therapeutic discovery.
• Leverages Cloud Platforms for Data Processing: Modern cloud platforms can be utilized for large-scale data processing, storage, and computation, ensuring the scalability of antibody design pipelines.
• Applies Advanced AI Techniques: Innovate with cutting-edge AI methods, including diffusion models and neural networks.
• Helps with grant proposals by contributing sections describing the interplay between research objectives and new or expanded data resources.
• Participates in tools development, providing professional assistance in designing front-end applications and database systems\' back-end schema.
• Analyzes high-level system specifications and ensure that all application development standards are met.
• Develops and presents technical training materials and web-based documentation, and ensure timely systems support and updates.
• Assists in conducting assessments and risk analysis of the computing environment.
• Evaluates past and present technologies to help develop new tools and ensure that all new tools have been through quality control reviews.
• Participates in creating data algorithms and specialized computer software to identify and classify components of a biological system (i.e. DNA and protein sequences).
• Applies basic application of computational tools and information technology to gather, analyze and visualize data in biology and biomedical research.
• Interprets data analysis of high throughput genomics, proteomics and genetic data.
• Plans own resources to implement or modify existing web-based bioinformatics tools.
• Performs other related work as needed.

Minimum Qualifications

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 experien e in a related job discipline.

Certifications:

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Preferred Qualifications

Education:

• Master of Science in Bioinformatics, Computational Biology, Computer Science, or a related field.

Experience:

Demonstrated expertise in software development.

Machine Learning Expertise: Solid experience applying AI and machine learning frameworks to biologics.

Programming Proficiency: Proficient in Python (required) and R (preferred), with experience in bioinformatics libraries and strong skills in cloud-based deployment of machine learning applications.

Demonstrated hands-on experience in developing Machine learning and Artificial intelligence algorithms.

Deep statistical knowledge and experience performing statistical inference analysis.

Experience and general proficiency using one or more high-level analysis tools or statistical languages (e.g., R, MATLAB, etc.).

Computing experience using Python and R.

Experience developing friendly UIs (using Rshiny, Java Script,...).

Fluency in data organization, manipulation, and analysis.