Public Health Research Analyst

University of Chicago•Chicago, IL

2d•Onsite

About The Position

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.

Requirements

Minimum requirements include a college or university degree in related field.
Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.
Proficiency with Microsoft applications, including but not limited to Outlook, Excel, Access, and Word.

Nice To Haves

Bachelor’s degree in the social sciences, data science, public policy, public health, or similar field.
Experience maintaining and documenting source code for reproducibility of research and service projects.
Background in biostatistics within clinical or public health research settings.
Proficiency with one or more statistical analysis software packages, such as SAS, Stata, or R for data quality assurance and statistical analysis.
Attention to detail and excellent organizational skills.
Ability to work on multiple projects simultaneously, set priorities independently, and meet deadlines.
Ability to adhere to protocols for maintaining confidentiality of protected health information, and work with sensitive information.
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 data quality processes to faculty and staff audience.
Flexibility, creativity, and problem-solving skills.
Ability to collaborate with colleagues from diverse academic and professional background.

Responsibilities

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 principals 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 complex data sets for the purpose of extracting and purposefully using applicable information.
Maintains technical and administrative support for a research project.
Analyzes and maintains data and/or specimens.
Conducts literature reviews.
Assists with preparation of reports, manuscripts and other documents.
Performs other related work as needed.