Computational Scientist (Chicago Booth)
The University of Chicago

Chicago, Illinois

Posted in Education and Training

This job has expired.

Job Info


SING 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 Chicago Booth School of Business (Chicago Booth) at The University of Chicago.

The job 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. 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.


  • Central knowledge resource for faculty and researchers in Chicago Booth, working closely with faculty 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 Chicago Booth. 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 Chicago Booth with the help and coordination of other RCC staff.
  • Keeps abreast of new developments in high-end computing and pro-actively introduces 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.
  • 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

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.


Preferred Qualifications

  • Ph.D., preferably in the fields of economics, finance, behavioral science, statistics, applied math or computer science.

  • Experience applying computer science methodologies in economics, financial management 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.
  • Numerical computing experience using statistical programming packages, such as Python, Matlab or R.
  • Fluency in data manipulation and analysis.
  • Experience in a UNIX-based programing environment.
  • Proficiency with applied statistical skills, such as distributions, statistical testing, regression, etc.
  • One or more programing languages (such as C++, C, Fortran, Stata, Julia, etc.).
  • Data visualization tools, such as D3 or GGplot.
  • Parallel computing experience with MPI and OpenMP.
  • Familiarity with Natural Language Processing (NLP) methods, recent trends in deep learning and hands-on experience with various Deep Learning methods and technologies such as PyTorch.
  • Exposure or experience in any of the following a plus: Hadoop, Pig, Hive, SQL coding, relational database structures and query techniques.

Preferred Competencies
  • Understand and translate researchers' scientific goals into computational requirements.
  • Excellent communications and presentation skills.
  • Function as part of an interactive team while demonstrating self-initiative to achieve project's goals and research computing center's mission.

Application Documents
  • Resume/CV (required)
  • Cover letter (preferred)

When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.

Job Family


Role Impact

Individual Contributor

FLSA Status


Pay Frequency


Scheduled Weekly Hours


Benefits Eligible


Requires Compliance with University Covid-19 Vaccination Requirement


Drug Test Required


Health Screen Required


Motor Vehicle Record Inquiry Required


Posting Statement

Employees must comply with the University's COVID-19 vaccination requirements. More information about the requirements can be found on the University of Chicago Vaccination GoForward.

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

This job has expired.

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