Senior Research Data Analyst, University of Chicago

Center Overview 

The Chicago Center of HIV Elimination, embedded within the University of Chicago’s main campus in Hyde Park, is located in Chicago’s HIV epicenter. Of the 20 neighborhoods in the city with high annual HIV diagnosis rates (greater than 40 per 100,000), 13 of them are no more than eight miles from the University of Chicago. This area includes 4 of the 6 communities with the highest annual diagnosis rates in the city (Washington Park, West Englewood, Greater Grand Crossing and South Shore). Our position within the hardest hit neighborhoods in Chicago provides unique opportunities to advance HIV testing and prevention interventions locally, providing tangible results to those most affected and to improve the lives of those living with and without HIV infection. CCHE seeks to eliminate new HIV transmission events over the next 30 years (from 2011 to 2041) by using network science to target and integrate prevention as well as create structural and community-specific interventions.

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 

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

Preferred Qualifications 

• Master’s degree or higher in mathematics, statistics, biostatistics, epidemiology, or related quantitative discipline
• 3 years of post-graduate experience with statistical consulting and analysis

Apply 

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