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BSD MED - Infectious Diseases - Chicago Center HIV Elimination - Data Analysts

About the Department

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.

Job Summary

The Research Data Analyst will be responsible for analyzing cutting-edge bio-behavioral health and network epidemiological datasets, and reporting results from their analyses. The candidate will assist with the development of abstracts, posters, and presentations for local and national conferences, manuscripts, and other research outputs.

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, the candidate may provide critical methodological evaluation of newly proposed research designs and suggest design improvements and statistical analysis plans.
• Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information.
• Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling.
• Performs other related work as needed.

Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.

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Work Experience:

Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

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Certifications:

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Preferred Qualifications

Education:

• Advanced degree in a related field.

Experience:

• Familiarity with one or more of the following areas, including 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 longit dinal 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.

Preferred Competencies

Ability to adhere to protocols for maintaining confidentiality of protected health information, and work with sensitive information (HIV/STI testing data).

Meticulous attention to detail and excellent organizational skills.

Ability to work on multiple projects simultaneously, set priorities, and meet deadlines.

Strong interpersonal skills and the ability to work both independently and as part of a team.

Demonstrated written and verbal communication skills, including ability to communicate results from complex statistical analyses to a lay audience.

Flexibility, creativity, and problem solving skill