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BSD IPP - McGuinn Lab

About the Department

The newly created Institute for Population and Precision Health (IPPH), located in the Biological Sciences Division, will integrate a wide spectrum of factors such as human health behaviors, environmental factors, social and economic factors, policies and genetic determinants of health, into studies focused on the treatment and prevention of disease, as well as the maintenance of wellness. Leveraging and integrating the University of Chicago\'s considerable institutional strength in population science with research spanning diverse fields such as genetic medicine, cancer epidemiology, microbiome, and epigenomics, the Institute will have the common goal of improving human health outcomes. Another major goal of the Institute will be to develop a new multidisciplinary training program to equip researchers with emerging tools and methods to conduct precision health research within a population health framework. Our faculty lead research projects in biostatistics, epidemiology and health services research and participate in interdisciplinary teams with faculty in other departments to address complex problems in health and healthcare, in our communities and around the globe. Please explore our programs further at https://ipph.uchicago.edu/.

Job Summary

The Institute for Population and Precision Health at the University of Chicago seeks a highly motivated Research Data Analyst to work on projects related to social and environmental factors affecting mental health and maternal and child health outcomes across the life course. The role involves collecting, organizing, and maintaining large spatial and non-spatial datasets from various sources, ensuring data integrity and security. The Research Data Analyst will assist in developing research protocols, contribute to literature reviews, and help write manuscripts, grants, and reports. The position offers the opportunity to work directly with epidemiologists, geographers, clinicians, and data scientists at the University of Chicago and other leading universities on several exciting epidemiologic and digital health studies.

Responsibilities

• Works with partners and members of the research team to propose and implement analytical approaches to solve specific epidemiologic, geospatial, and digital health research questions.
• Collect, organize, and maintain large spatial and non-spatial datasets from various internal and external sources.
• Documents source code and data management and analysis procedures.
• Prepares tables and figures for manuscripts, abstracts, and other scientific publications.
• Clean, manage, and analyze large datasets using statistical software.
• Assist in the development of research protocols and other study-related documentation.
• Collaborate with the research team to interpret results and contribute to the preparation of manuscripts, grant proposals, and conference presentations.
• Ensure data integrity and security throughout the research process, adhering to best practices in data management.
• Assist with literature reviews and help to write manuscripts, grants, and reports.
• Stay updated on new data analysis methods and tools relevant to the research field.
• Assists in analyzing data for the purpose of extracting applicable information. Performs research projects that provide analysis for a number of programs and initiatives.
• May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis.
• Collects, organizes, and may analyze information from the University\'s various internal data syst ms as well as from external sources.
• Maintains and analyzes statistical models using general knowledge of best practices in machine learning and statistical inference. Performs maintenance on large and complex research and administrative datasets. Responds to requests and engages other IT resources as needed.
• 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 ---

Certifications:

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Preferred Qualifications

Education:

• Master\'s degree in public health, geography, biostatistics, epidemiology, or related field.

Preferred Competencies

Previous experience in research coordination and data analysis is strongly preferred.

Strong organizational skills with the ability to manage multiple projects simultaneously.

Excellent communication skills, both written and verbal, with the ability to present complex data clearly.

Ability to work both independently a