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Redcap Data Jobs in Seattle, WA (NOW HIRING)

(Associate) Scientist, Health Data

Seattle, WA · On-site

$67K - $67K/yr

Experience with REDCap or similar electronic data capture (EDC) platforms. * Familiarity with data harmonization frameworks - common data elements, common data models, or FAIR principles, including ...

Experience with REDCap or similar electronic data capture (EDC) platforms. * Familiarity with data harmonization frameworks - common data elements, common data models, or FAIR principles, including ...

Establishing biospecimen processing protocols as needed Data Entry and Management- 20% Data abstraction from the EMR Data entry in study-specific electronic data capture software (e.g. REDCap ...

Redcap Data information

What are some common challenges faced when managing data in a REDCap Data Specialist role?

One common challenge in a REDCap Data Specialist role is ensuring data integrity while handling large and complex datasets from multiple studies or sources. Specialists must pay close attention to detail when designing data collection forms and workflows, as errors can affect data quality and analysis outcomes. Additionally, coordinating with researchers and end-users to address their needs while maintaining compliance with data security and privacy regulations can be demanding. Effective communication and organization skills are essential to manage project timelines and resolve issues quickly.

What is a REDCap Data Specialist?

A REDCap Data Specialist is a professional who manages and supports data collection, organization, and analysis using the REDCap (Research Electronic Data Capture) platform. Their responsibilities typically include designing databases, ensuring data quality, training users, and providing technical support for research projects. They play a crucial role in facilitating secure and efficient data management for clinical and academic studies.

What is the difference between Redcap Data vs Data Analyst?

AspectRedcap DataData Analyst
Required CredentialsExperience with REDCap, data management skillsDegree in statistics, data science, or related field; often certifications in data analysis
Work EnvironmentResearch settings, healthcare, academic institutionsCorporate, healthcare, finance, or tech industries
Employer & Industry UsageResearch institutions, clinical trials, academic projectsBusinesses, government agencies, consulting firms
Common Search & ComparisonRedcap Data vs Data Analyst

Redcap Data specialists focus on managing and extracting data within the REDCap platform, primarily in research and healthcare settings. Data Analysts have broader roles involving analyzing data across various platforms and industries, often requiring statistical skills and certifications. While both roles handle data, Redcap Data is specialized in research data management, whereas Data Analysts perform comprehensive data analysis for decision-making across sectors.

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 a strong background in data management, database design, and familiarity with research protocols, often supported by a degree in health informatics, biostatistics, or a related field. Proficiency in the REDCap platform, as well as knowledge of data analysis tools like SQL, Excel, or statistical software, is typically required. Attention to detail, strong organizational skills, and effective communication are essential soft skills for collaborating with research teams and ensuring data integrity. These abilities are crucial for maintaining accurate, secure, and compliant research data, which supports high-quality research outcomes.
What are the most commonly searched types of Redcap Data jobs in Seattle, WA? The most popular types of Redcap Data jobs in Seattle, WA are:
Infographic showing various Redcap Data job openings in Seattle, WA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.
Research Consultant 3, BRaIN Lab

Research Consultant 3, BRaIN Lab

University of Washington

Seattle, WA • On-site

Full-time

Posted 11 days ago


University Of Washington School Of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

183rd of 612 rated colleges and universities


Job description

Job Summary:
The University of Washington is seeking a Research Consultant 3 to join their Department of Laboratory Medicine & Pathology. This role focuses on managing the biorepository database and specimen tracking systems, supporting research analytics, and modernizing data infrastructure to enhance access to brain specimens for research purposes.
Responsibilities:
• Lead and oversee the development, maintenance, and evolution of the data management systems, with a focus on modernizing legacy infrastructure toward current best practices.
• Responsible for data quality control, integration of database with laboratory information management system, report generation, data sharing processes, and assist with manuscript writing as assigned.
• Help coordinate our growing repository of collected brain and tissue specimens, including specimen tracking, inventory management, and distribution records.
• Serve as a technical resource for coding and automation solutions that improve data workflows across the lab.
• Serve as main point of contact for database-related activities across a range of projects.
• Manage users and user rights across multiple projects and platforms.
• Manage data integration from outside sources, including linkage of LIMS with other internal databases.
• Direct the development of new data collection instruments, as well as update existing metrics.
• Provide REDCap technical assistance through data collection and data sharing; develop REDCap training and train users on methods as needed.
• Design and execute the data quality management plan; develop standard operating procedures for data entry.
• Conduct data quality checks to identify potential data entry and calculation/coding errors.
• Combine data from multiple sources to create interim and final datasets.
• Maintain specimen inventory records and support tracking of specimen distribution and chain of custody to fulfill researcher requests and comply with biorepository protocols.
• Collaborate with project leadership on scope, timeline, and budget for data-related activities.
• Summarize findings in tables, figures, and dashboards; communicate information to project leadership and collaborators.
• Contribute to manuscripts and presentations for internal and external audiences.
• Provide data extracts and summaries for progress reports, grant reporting, and updates to institutional and funding-agency stakeholders.
• Assist with the development, maintenance and evolution of the LIMS.
• Assist with the laboratory resource requests relating to tissue distribution.
• Participate in lab and other meetings and provide regular status updates.
• Review work lists and prioritize work in conjunction with the PI; interact with the research team and collaborators.
• Assist with a variety of other special projects.
• Perform other duties as assigned.
Qualifications:
Required:
• Bachelor's degree in quantitative fields such as biostatistics, statistics, informatics, computer science or a related field.
• Four to five years of significant relevant experience.
• Experience with REDCap or comparable data collection and management platforms.
• Experience with programming languages (primarily R, Python).
• Proficiency with Microsoft Office, including advanced Excel skills.
• Demonstrated experience managing research databases and data workflows.
• Demonstrated ability to work effectively and collaboratively with diverse stakeholders in a research environment.
• Exceptional attention to detail.
Preferred:
• MA/MBA with some relevant experience or PhD
• Experience in life sciences, healthcare, or technology industries strongly preferred.
• Familiarity with LIMS software for biorepositories
• Experience with version control tools such as Git.
• Experience building data dashboards or automated reporting tools (e.g., R Shiny, Tableau, Power BI).
• Experience with database modernization, migration, or ETL processes.
• Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
• Experience with data privacy and security compliance, including de-identification workflows and data use agreements.
• Previous experience supporting progress reports, grant reporting, or stakeholder communications in a research context.
Company:
University of Washington is an educational institution that provides undergraduate, graduate, and research programs. Founded in 1861, the company is headquartered in Seattle, USA, with a team of 10001+ employees. The company is currently Late Stage.

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