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Redcap Data Manager information

What is a Redcap data manager?

Redcap Data Managers are professionals responsible for designing, implementing, and maintaining databases using the REDCap (Research Electronic Data Capture) platform. They ensure data integrity, manage user access, provide technical support, and oversee data collection processes in research studies or clinical trials. Their role often includes training research staff, troubleshooting issues, and ensuring compliance with data security and regulatory standards. Redcap Data Managers play a vital part in facilitating accurate and efficient data management for research projects.

How does a Redcap data manager collaborate with research teams to ensure data quality and compliance?

A Redcap Data Manager works closely with principal investigators, research coordinators, and IT staff to design, implement, and maintain data collection instruments within the REDCap system. They regularly communicate with team members to provide training, troubleshoot issues, and ensure proper data entry protocols are followed. Additionally, they play a vital role in monitoring data for accuracy, managing user permissions, and ensuring compliance with institutional and regulatory standards such as HIPAA. This collaborative environment helps foster reliable data collection and supports successful research outcomes.

What are the key skills and qualifications needed to thrive as a Redcap data manager, and why are they important?

To thrive as a Redcap Data Manager, you need expertise in data management, database design, and an understanding of research protocols, often supported by a degree in health informatics, information science, or a related field. Proficiency with the REDCap platform, knowledge of data security practices, and sometimes familiarity with statistical software or programming languages like SQL are typically required. Strong attention to detail, problem-solving abilities, and effective communication are crucial soft skills for this role. These competencies ensure accurate data collection, compliance with research standards, and seamless collaboration with research teams.

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Infographic showing various Redcap Data Manager job openings in California as of August 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 94% In-person, and 6% Hybrid job distribution.

Research Data Analyst III

University of California San Francisco

San Francisco, CA • On-site

Full-time

Posted 21 days ago

University Of California San Francisco rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

237th of 631 rated colleges and universities

Job description

Job Summary:

Involves gathering, analyzing, and interpreting a wide variety of research data.  Designs and conducts research including selecting data samples, developing research instruments, analyzing collected information according to established statistical methods, and developing recommendations based on research findings.  Prepares reports, charts, tables, and other visual aids to interpret and communicate data and results.

Specifically for this post, this individual will oversee the data collection process specific to research participants including serving as the primary contact for OB and working to ensure that data from a study focused on oral health and pregnancy (CHEER) is entered correctly, that enrollments are complete, and that compensation proceeds accordingly.  The individual will work directly with PIs on data analyses and will serve as co-lead author on one or more manuscripts.

Department Overview:

The Department of Orofacial Sciences (OFS) at the UCSF School of Dentistry brings together several clinical disciplines including Craniofacial Anomalies, Oral Medicine, Oral Pathology, Oral Radiology, Orthodontics, Pediatric Dentistry, and Periodontology under one department engaged in cross-disciplinary clinical, teaching, and research activity, composed of several clinical disciplines including Craniofacial Anomalies, Oral Medicine, Oral Pathology, Oral Radiology, Orthodontics, Pediatric Dentistry, and Periodontology, engaging in cross-disciplinary clinical, teaching and research activities. Students and trainees in OFS gain broad exposure to oral disease diagnosis and treatment, developmental conditions, and craniofacial disorders, training across specialty clinics in oral medicine, oral pathology, orthodontics, pediatric dentistry, periodontology, and craniofacial anomalies, which serve as core sites for both patient care and teaching.

Required Qualifications:

  • Master's degree in Public Health, Epidemiology, Statistics, or a related field, or an equivalent combination of education and experience.
  • At least three years of experience managing complex datasets and population-based study data
  • Experience creating and managing REDCap datasets within a clinical trial setting
  • Experience in monitoring and reporting clinical trial data to internal and external entities
  • Robust experience analyzing and reporting scientific data related to pregnancy and pregnancy outcomes
  • Able to conduct analyses in SAS (preferred) or a similar statistical platform
  • Thorough knowledge of the research function 
     

Preferred Qualifications:

  • 5 or more years in academic research
  • 3 or more years of experience working with pregnant populations
  • Experience writing and applying for grants from the NIH or similar funder
  • Oversee enrollment for the clinical RCT examining whether an oral health intervention impacts markers of periodontal disease.  
  • Create and oversee the REDCap data system, including implementing updates as needed and overseeing analyses including writing and interpreting code and findings using SAS or equivalent software. 
  • Oversee participant compensation and tracking, including managing the organization and disbursement of gift cards in partnership with department finance leads.  
  • Organize and attend the weekly project meeting (online or in person) and required quarterly in-person meetings. 
  • Participate in all related presentations and publications serving as analytic lead on all products that leverage clinical data
     

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