1

Redcap Data Manager Jobs in Georgia (NOW HIRING)

Support management and organization of respiratory hospitalization surveillance datasets (e.g ... SQL, REDCap, or cloud environments). * Perform data cleaning, transformation, and basic ...

... project management. * Leadership experience in emergency response surveillance and research ... SQL, REDCap, SAS, R, Power BI or other statistical or data visualization programs and prepare ...

... project management. * Leadership experience in emergency response surveillance and research ... SQL, REDCap, SAS, R, Power BI or other statistical or data visualization programs and prepare ...

... Rhapsody, REDCap, Power BI, and other in-house systems. Specific Programmer duties and ... design related to information risk management, designation of data as to criticality ...

next page

Showing results 1-20

Redcap Data Manager information

What are Redcap Data Managers?

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.

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.

How does a Redcap Data Manager typically 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 popular job titles related to Redcap Data Manager jobs in Georgia? For Redcap Data Manager jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Redcap Data Manager jobs? Cities in Georgia with the most Redcap Data Manager job openings:
Epidemiologist II

Other

Posted 27 days ago


Job description

Description

ANTICIPATED START DATE:  2 weeks after candidate identification

TRAVEL:  As required to fulfill the responsibilities of the position


IHRC Inc. seeks a dedicated and experienced Epidemiologist II to support our clients at Centers for Disease Control and Prevention (CDC)/Coronavirus and Other Respiratory Viruses Division (CORVD). CORVD's mission is to provide the health of people by preventing illness, disability and death from respiratory viruses through public health science and practice in the United States and globally. This position is needed for accomplishing CORVD's mission. Epidemiologist III will provide technical assistance to support regional capacity to conduct surveillance, detection, and response to events of public health significance. 

  • Support management and organization of respiratory hospitalization surveillance datasets (e.g., COVID-19, RSV). 
  • Clean, merge, and maintain datasets from multiple sources to ensure consistency and usability.
  • Assist in aligning variables, standardizing naming conventions, and reconciling discrepancies across datasets and time. 
  • Perform routine data validation checks to identify missing, inconsistent, or out-of-range values. 
  • Generate and maintain basic QA reports and track data issues and resolutions. 
  • Contribute to the development and upkeep of data dictionaries and metadata documentation. 
  • Assist in drafting and maintaining standard operating procedures (SOPs) for data workflows. 
  • Support data ingestion, transformation, and preparation for analysis and reporting. 
  • Create simple, user-friendly summaries or guides to support data users and stakeholders. 
  • Collaborate with epidemiologists and team members to ensure data quality and consistency. 
  • Maintain data security and confidentiality in accordance with project requirements.      
  • Work with structured and semi-structured datasets across platforms (e.g., Excel, SQL, REDCap, or cloud environments). 
  • Perform data cleaning, transformation, and basic harmonization tasks. 
  • Support merging of datasets and validation of outputs. 
  • Assist in tracking and documenting changes in data structure over time. 
  • Execute predefined QA checks and flag data quality issues. 
  • Maintain logs of data issues, corrections, and updates. 
  • Update data dictionaries and documentation as datasets evolve. 
  • Follow established data governance and documentation standards.

Requirements

  •     MS with 0-5+ years' experience or BA/BS with 5-10+ years' experience.

Desired Qualifications

  • Experience working with CDC staff at multiple organizational levels.
  • Proficiency in at least one: SQL, R, Python, or SAS. 
  • Experience working with large datasets (public health or healthcare data preferred). 
  • Familiarity with Excel and data cleaning techniques. 
  • Exposure to cloud platforms (e.g., Databricks) or willingness to learn. 
  • Basic understanding of data validation and QA processes. 
  • Communicate data issues and findings clearly to team members. 
  • Work collaboratively with technical and non-technical stakeholders. 
  • Follow established processes and escalate issues when needed. 
  • Exposure to public health or surveillance data systems. 
  • Experience with basic automation or scripting for data checks. 
  • Familiarity with metadata, data dictionaries, or documentation practices. 
  • Introductory experience with AI-assisted tools for data review or validation. 
  • Detail-oriented with strong organizational skills. 
  • Able to follow structured processes and maintain consistency. 
  • Comfortable working with moderately complex datasets. 
  • Proactive but able to work within defined guidance and frameworks. 
  • Strong written and verbal communication skills.