Research Computing Specialist, University of Chicago

Research Computing Specialist, University of Chicago

Category : Alumni

Center Overview 

The Chicago Center for HIV Elimination (CCHE), is situated within the Biological Sciences Division at the University of Chicago Medicine. CCHE aims to eliminate all new HIV transmission events by 2041. The University of Chicago’s position on the South Side makes it uniquely situated to test, treat, and prevent new HIV infections in a highly affected population. The South Side communities and majority Black suburbs connected to them to the South represents the largest contiguous Black population in the United States. By using our integrated HIV transmission elimination approaches, we are beginning to make new infections in these communities less frequent.

Responsibilities

The job uses best practices and knowledge of data manipulation, statistical applications, programming, analysis and modeling in order to implement projects related to the University’s various internal data systems as well as from external sources. The job is responsible for managing operational protocols.

  1. Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information. May develop and maintain infrastructure that connects data sets.
  2. Guides staff or faculty members in defining the project and applies principals of data science in manipulation, statistical applications, programming, analysis and modeling.
  3. Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University’s various internal data systems as well as from external sources.
  4. Designs and evaluates statistical models and reproducible data processing pipelines using expertise of best practices in machine learning and statistical inference. Provides expertise for high level or complex data-related requests and engages other IT resources as needed. Partners with other campus teams to assist faculty with data science related needs.
  5. Performs other related work as needed.

Minimum Qualifications 

  1. College or university degree in related field.
  2. Knowledge and skills developed through 5-7 years of work experience in a related job discipline.

Preferred Qualifications 

  • Master’s or higher in Computer Science
  • Working in a research environment, especially academic
  • Use of Python-based packages and platforms for analytic computing such as NumPy, Pandas and Dask
  • Working with medical record data and/or health research data including clinical trials and population-based studies of health; working with PHI
  • Use of REDCap for data capture; developing against its API
  • Using Continuous Integration/Continuous Delivery (CI/CD) in GitLab or GitHub
  • Use of PostgreSQL database
  • Open-source development

Apply

Click here to view the full position description and to apply online! 


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  • “UniLasso”— a novel statistical method for sparse regression April 10, 2025 at 4:00 pm – 5:00 pm Seminar Series; zoom.us… Online Location: https://zoom.us/j/92231723229Event Type: Seminar SeriesSeries: Biostatistics and BioinformaticsSpeaker: Robert Tibshirani, PhDContact Name: Mary AbosiContact Email: mabosi@emory.eduRoom Location: CNR_8030 Lawrence P. &Ann Estes Klamon room“UniLasso”— a novel statistical method for sparse regression
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