Data Management and Reporting Analyst

Department

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 applying principals of data science in manipulation, statistical applications, programming, analysis and modeling.
• Performs other related work as needed.
  
  

Education:

Minimum Qualifications

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

Work Experience:

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

Certifications:

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 simultaneously, set priorities, 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 management processes to faculty and staff audience.
• Flexibility, creativity, and problem solving skills.
• Ability to collaborate with colleagues from diverse academic and professional background.
  
  

Application Documents

• Resume (required)
• Cover Letter (required)
  
  

When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.

Job Family

Research

Role Impact

Individual Contributor

FLSA Status

Exempt

Pay Frequency

Monthly

Scheduled Weekly Hours

40

Benefits Eligible

Yes

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Posting Statement

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

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