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BSD MED - General Internal Medicine - Huang Research Staff

About the Department

The University of Chicago\'s Section for General Internal Medicine (GIM) houses many outstanding multidisciplinary academic centers and programs including the Center for Research on Behavioral Health and Implementation Science (ReBHIS; led by Dr. Neda Laiteerapong) and the Center for Chronic Disease Research and Policy (CDRP; led by Dr. Elbert Huang). The ReBHIS is a newly established center with the mission of furthering behavioral health research by leveraging implementation science methods. This Center provides resources and support for clinical investigators within the Section and throughout the Department of Medicine who are interested in accelerating the effectiveness of their interventions focused on improving behavioral health and changes in provider behavior that lead to improved patient health behaviors. The CDRP was founded in 2012 with the mission of improving the care and health of individuals at risk and suffering with chronic diseases. It aims to influence healthcare policies by studying innovations in the natural history of chronic diseases and their treatment. This position will support various research projects led by clinical investigators across both of the Centers.

Job Summary

We are seeking a Data Management and Reporting Analyst to join our team! The Data Management and Reporting Analyst is responsible for meticulous and accurate data management for research project data. This includes retrieval of all patient/client or participant data from clinical and research databases. This 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.

Responsibilities

• Maintains a close, collaborative working relationship with the PIs to effectively manage research studies, with the Section/Center, with the administrative team and research staff.
• Responsible for all data management aspects of research studies.
• Responsible for generating documentation for projects, e.g. procedural manuals, protocol worksheets, codebooks, questionnaires, progress reports, addendums, and/or adverse event reports.
• 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 management and data collection recommendations (including recommending data collection tools) to staff to improve data quality.
• Oversees the general maintenance of our data collection tools (i.e., REDCap), as well as develop any new programs and/or projects within these systems.
• Prepares analytic datasets for research recruitment, analyses, and data abstractions and preliminary descriptive statistics.
• Facilitates the execution of data usage agreements (DUA) and/or data management plans (DMP) to share data to internal and external partners/institutions.
• Demonstrates proficiency in the use of clinical and research-related computer programs.
• Utilizes critical thinking, attention to detail, and problem-solving skills.
• Attends multidisciplinary conferences and workshops.
• 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 applyin 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:

• Experience maintaining and documenting source code for reproducibility of research and service projects.
• Proficiency with one or more statistical analysis software packages, such as SAS, Stata, or R for data management and statistical analysis.
• Proficiency with Microsoft applications, including but not limited to Outlook, Excel, Access, and Word.

Preferred Competencies

Meticulous attention to detail and excellent organizational skills.

Ability to work on multiple projects s