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This job was posted by https://illinoisjoblink.illinois.gov : For more information, please see: https://illinoisjoblink.illinois.gov/jobs/12443678 Department

Provost Research Computing Center

About the Department

The University of Chicago Research Computing Center (RCC), a unit in the Office of Research, provides high-end research computing resources to researchers at the University of Chicago. It is dedicated to enabling research by providing access to centrally managed High-Performance Computing (HPC), storage, and visualization resources. These resources include hardware, software, high-level scientific and technical user support, and the education and training required to help researchers make full use of modern HPC technology and local and national supercomputing resources. The Office of Research oversees the conduct of sponsored research, research program development, and contract management functions.

Job Summary

The Research Computing Center (RCC) seeks a highly motivated Computational Scientist to work closely with faculty and researchers in the Social Sciences Division (SSD) at The University of Chicago. The person in this position will serve as a technical domain expert, supporting and advising faculty on high-end computing and machine learning techniques for big data analysis in their research and grant writing.

This position develops software to support the data acquisition, ingestion, and integration for research projects. Assists in the development of user interfaces and scalable back-end services to automate and accelerate the scientific output of multi-institutional research projects.

This is a hybrid position requiring working onsite 3 days per week.

Responsibilities

• Central knowledge resource for faculty and researchers in the Social Sciences Division (SSD), working closely with faculty in SSD to identify, develop, and implement useful computational methods and resources that advance their research.
• Assists in the development, implementation, and improvement of application software and methods that can be utilized in analyzing and interpreting data in the social sciences. Assists with compiling, debugging, optimizing, profiling and porting codes on RCC compute and storage resources.
• Designs tutorials, hands-on workshops, and documentation for researchers and students in SSD with the help and coordination of other RCC staff. Organizes seminars and meet-ups to expand and help bring together the community of computational researchers in SSD.
• Keeps abreast of new developments in computational social sciences and pro-active in introducing them to the faculty.
• Helps faculty with grant proposals by contributing sections of the proposal that describe the interplay between their research and high-end computing resources.
• Assists researchers with data management implementations and compliance to funding agencies requirements.
• Dedicates a portion of time on research projects or activities for professional development, as approved.
• Participates in the product development life cycle, providing professional assistance to the design of front-end applications and database systems back-end schema. Analyzes high-level system specifications and makes sure that all application development standards are met.
• Develops and presents technical training materials and web-based documentation. Ensures timely systems support and updates. Assists in conducting information security assessments and risk analysis of computing environment.
• Evaluates past and present technologies to help develop new tools. Ensures all the new tools have been through quality control reviews
• Performs other related work as needed.

Minimum Qualifications

Education:

Minimum requirements include a college or universit 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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Preferred Qualifications

Education:

• Ph.D., preferably in the fields of sociology, economics, psychology, political science, computer science or similar field.

Technical Skills or Knowledge:

• Proficiency with machine learning techniques and algorithms.
• Broad programming skills to support analysis efforts in multiple programming environments.
• Proficiency using statistical programming packages, such as Python, Matlab, Stata, or R.
• Fluency in data manipulation and analysis.
• Proficiency in a UNIX-based programing environment.
• Proficiency with applied statistical skills, such as distributions, statistical testing, regression, etc.
• Skilled in one or more programing languages such as C++, C, Julia, etc.
• Familiarity with natural language processing (NLP) methods.
• Exposure or experience in any of the following is a plus: Hadoop, Pig, Hive, SQL coding, relational database structures and query techniques.

Preferred Compet