Research Data Analyst - JR26342-3800

University of Chicago - Chicago, IL

Full-time

Chicago, IL

Educational Services

About the position

The Research Data Analyst at the University of Chicago will play a crucial role in analyzing bio-behavioral health and network epidemiological datasets to support the Chicago Center for HIV Elimination's mission of reducing new HIV transmissions. This position involves statistical analysis, data management, and collaboration with researchers to produce scientific outputs and presentations.

Responsibilities

• Working with CCHE investigators to identify appropriate statistical methods to address research hypotheses and conducting statistical analyses accordingly.
• Creating analytic datasets by merging, cleaning, and coding data from multiple sources, including behavioral surveys, electronic health records, and public health surveillance.
• Documenting source code and data management and analysis procedures.
• Preparing tables and figures for manuscripts, abstracts, and other scientific publications.
• Contributing to the writing of statistical methods sections for manuscripts and other publications, with opportunities for authorship available.
• Presenting results of statistical analyses to researchers, colleagues, and funders, including formal presentations at conferences.
• Participating in regular meetings with CCHE research staff and data analysts to discuss proposed analyses, share code and analytic approaches, and discuss data and/or methodological challenges as they arise.
• Providing assistance with power calculations and proposed analytic strategies for new grant proposals.
• Depending on expertise and experience, providing critical methodological evaluation of newly proposed research designs and suggesting design improvements and statistical analysis plans.
• Analyzing moderately complex data sets for the purpose of extracting and purposefully using applicable information.
• Providing professional support to staff or faculty members in defining the project and applying principles of data science in manipulation, statistical applications, programming, analysis and modeling.
• Performing other related work as needed.

Requirements

• Minimum requirements include a college or university degree in a related field.
• Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

Nice-to-haves

• Advanced degree in a related field.
• Familiarity with one or more of the following areas: HIV/STI prevention research, epidemiologic study design, network analysis, public health surveillance, and/or clinical and social science research methods, or willingness to gain knowledge in these areas.
• Experience working on health and/or social science research projects.
• Experience working with longitudinal data, network data, or other clustered data structures.
• Experience with manipulation of large databases and consolidation and synthesis of data from multiple sources.
• Ability to identify and expand knowledge of new software and analytic tools to support evolving Center needs.
• Knowledge of high performance computing systems, Git and version control systems, and experience with Unix/Linux systems.