Public Health Research Analyst

Department

BSD MED
- General Internal Medicine
- Chin Research Staff

The University of Chicago’s Section for General Internal Medicine (GIM) houses many outstanding multidisciplinary academic centers and programs. Under limited direction the Public Health Research Analyst will perform complex research‑related and data quality tasks regarding the evaluation of the California Safety‑Net Population Health Management Initiative (PHMI). PHMI is a comprehensive healthcare strategy aimed at improving the overall health outcomes of Medi‑Cal beneficiaries in the State of California.

Launched as part of broader healthcare transformation efforts, the initiative focuses on proactive health management and enhancing population health management capacities by addressing social determinants, preventive care, and chronic disease management. Through care coordination, data analytics, and community engagement, the goal of PHMI is to enhance equitable delivery of healthcare services, reduce costs, and create a more integrated and patient‑centered approach to managing the health of California’s diverse population.

The role of the University of Chicago is in the evaluation of this initiative through a multi‑year, mixed methods analysis around the implementation process of PHMI and the achievement of its intended goals. As time allows, this position will support various health services and public health‑related research projects led by clinical investigators across the Section for GIM.

We are seeking a Public Health Research Analyst to join our team! The Public Health Research Analyst is responsible for meticulous and accurate data quality for research project data. This includes retrieval of all patient/client or participant data from clinical and research databases. The role will also be responsible for developing and implementing regular data quality and assurance checks to ensure high quality data, as well as production of reports for internal and external partners to monitor project progress.

This position will assist with the development of abstracts, posters, and presentations for local and national conferences, manuscripts, and other research and service outputs.

• Maintains a close, collaborative working relationship with the PIs, the administrative team, and research staff within the Section/Project(s) to effectively manage research studies.
• Responsible for all data quality aspects of research studies.
• Performs quality assurance audits (QA) as needed, as well as QA summary reports for staff (internally) and stakeholders (externally) in a timely, accurate manner.
• Provides data quality and data collection recommendations (including recommending data collection tools) to staff to improve data integrity.
• Conducting data checks, data cleaning and variable creation to ensure data quality and integrity and to prepare data sets for analysis.
• Collaborating with external research and implementation partners to implement data collection protocols.
• Oversees the general maintenance of our data collection tools (i.e., REDCap, etc.), as well as develop any new programs and/or projects within these systems.
• Developing and implementing protocols to streamline and standardize data collection, storage, and processing across studies and datasets.
• Prepares analytic datasets for research recruitment, analyses, and data abstractions and preliminary descriptive statistics.
• Maintaining code library and documentation.
• Provides 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.
• Responsible for generating documentation for projects, e.g. procedural manuals, protocol worksheets, codebooks, questionnaires, progress reports, addendums, and/or adverse event reports.
• Facilitates the execution of data usage agreements (DUA) and/or data quality plans to share data to internal and external partners/institutions.
• Demonstrates proficiency in the use of clinical and research‑related computer programs.
• Attends multidisciplinary conferences and workshops.
• Analyzes moderately…