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Research Data Manager Jobs in Washington (NOW HIRING)

Emmes Group is transforming the future of clinical research, bringing the promise of new medical ... The Data Manager is responsible for the completeness and accuracy of the study data in the ...

Emmes Group is transforming the future of clinical research, bringing the promise of new medical ... The Data Manager is responsible for the completeness and accuracy of the study data in the ...

Clinical Research Department: Clinical Affairs Employment Type: Full-time Req ID: 10220 Job Title: Clinical Data Manager Reports to: Director, Clinical Data Acquisition Location: Remote or Columbia ...

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Research Data Manager information

See Washington salary details

$35.1K

$110K

$194.8K

How much do research data manager jobs pay per year?

As of Jul 28, 2026, the average yearly pay for research data manager in Washington is $110,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $142,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Research Data Managers, and how can they be addressed in day-to-day work?

Research Data Managers often encounter challenges such as ensuring data integrity, managing large volumes of diverse data, and complying with data privacy regulations. To address these issues, they implement robust data management plans, maintain clear documentation, and regularly conduct data audits. Effective collaboration with researchers and IT staff is also essential to streamline workflows and troubleshoot data-related issues, ensuring the research process remains efficient and compliant.

What are the key skills and qualifications needed to thrive as a Research Data Manager, and why are they important?

To thrive as a Research Data Manager, you need expertise in data management, database design, and knowledge of regulatory compliance, often supported by a degree in information science or a related field. Familiarity with data management systems (such as REDCap or SQL databases), data security protocols, and relevant certifications like Certified Research Data Manager (CRDM) is typically required. Strong organizational skills, attention to detail, and effective communication are vital soft skills for coordinating with research teams and ensuring data integrity. These abilities ensure that research data is accurate, secure, and accessible, supporting the success and credibility of scientific projects.

What are Research Data Managers?

Research Data Managers are professionals responsible for overseeing the collection, organization, storage, and sharing of research data throughout the lifecycle of a research project. They ensure data integrity, security, and compliance with relevant legal, ethical, and institutional requirements. Their work enables researchers to manage data efficiently, promote data sharing, and support reproducibility and transparency in research.

What is the difference between Research Data Manager vs Data Analyst?

AspectResearch Data ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Information Management, or related fieldsBachelor's or Master's in Statistics, Data Science, or related fields
Work EnvironmentResearch institutions, universities, clinical trials, or research labsBusiness, finance, marketing, or healthcare organizations
Employer & Industry UsagePrimarily in research settings managing data collection, storage, and complianceAnalyzing data to inform business decisions across various industries

Research Data Managers focus on organizing, maintaining, and ensuring the integrity of research data within academic or clinical research environments. Data Analysts interpret and analyze data to generate insights for business or research purposes. While both roles require strong data skills, Research Data Managers emphasize data management and compliance, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Research Data jobs in Washington? The most popular types of Research Data jobs in Washington are:
What are popular job titles related to Research Data Manager jobs in Washington? For Research Data Manager jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Research Data Manager jobs? Cities in Washington with the most Research Data Manager job openings:
Infographic showing various Research Data Manager job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 17% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $110,026 per year, or $52.9 per hour.
Clinical Research Data and Analytics Manager (Hybrid)

Clinical Research Data and Analytics Manager (Hybrid)

The Geneva Foundation

Bethesda, MD

$105K - $115K/yr

Full-time

Posted 18 days ago


Job description

About the Position:
The Data and Analytics Manager is responsible for leading the day-to-day functions of a core Data & Analytics team providing centralized data coordination and data analysis services for a large research portfolio. Reporting to the Senior Manager of Regulatory Affairs & Data, this role directly oversees a small, dedicated team (including a Clinical Data Manager and a Data Management Analyst) supporting a robust portfolio of 65+ active multi-site research studies, including federally funded, FDA-regulated and industry-sponsored clinical trials, across military treatment facilities, academic institutions, and other sites nationwide. This position works cross-organizationally to ensure the on-time execution of high-quality and compliant research, proper documentation of procedures, accurate data reporting, and assures real-time data access for the investigator(s) and staff.
In this dynamic position, you will manage the day-to-day data management and analysis pipeline, act as the Subject Matter Expert (SME) for internal and external stakeholders, as well as execute on your own data management, quality control (QC), and data analysis activities. A strong candidate will be a versatile professional who is equally comfortable developing and executing high-level strategy, effectively delegating and empowering their staff, and rolling up their sleeves to troubleshoot a formula, run analyses, draft/negotiate data sharing agreements, or build a database.
Work Location:
This is a hybrid - remote role supporting a program based out of the Uniformed Services University in Bethesda, MD, with research performance sites located across the continental United States. Applicants must live within a reasonable commuting distance of Bethesda, MD for on-site presence as necessary. A comprehensive government background check will be administered.
About the Program:
The Musculoskeletal Injury Rehabilitation Research for Operational Readiness (MIRROR) Program was established to support the execution of clinically relevant research to advance the care of service members with non-combat related musculoskeletal injury (MSI). Headquartered at the Uniformed Services University of the Health Sciences (USU) in Bethesda, MD, MIRROR provides coordination and support of inter-service and inter-disciplinary partnerships across military treatment facilities (MTFs), military training centers (MTCs), and civilian academic centers to execute cutting-edge research in order to mitigate the burden of MSI on military readiness. The MIRROR portfolio currently consists of 65+ active projects.
Salary Range
$105,000 - $115,000. Salaries are determined based on several factors including external market data, internal equity, and the candidate's related knowledge, skills, and abilities for the position.

This is a hybrid - remote role supporting a program based out of the Uniformed Services University in Bethesda, MD, with research performance sites located across the continental United States. Applicants must live within a reasonable commuting distance of Bethesda, MD for on-site presence as necessary. A comprehensive government background check will be administered.

Qualifications:

  • Bachelor's degree in a scientific, informatics, or relevant field required. Master's degree, equivalent work experience, or relevant professional certification strongly preferred.
  • 3-5 years' professional experience in clinical research data management, clinical trials, or a data coordinating center environment required. Previous research conduct experience highly desired.
  • 1-2 years in team management, leadership, or direct supervisory experience required.
  • Must possess a strong working knowledge of clinical research data compliance, including requirements for FDA-regulated clinical trials, IRB requirements for human subjects protections, and general best research practices.
  • Must have demonstrated experience building complex, longitudinal, multi-arm electronic clinical research databases required. Experience using REDCap is strongly preferred.
  • Must have demonstrated experience with cleaning, analyzing, and presenting real-time data and metrics.
  • Must have a strong understanding of data visualization principles and the ability to build or troubleshoot business intelligence dashboards. Experience with PowerBI strongly preferred.
  • Experience executing or navigating data agreements (e.g. data use agreements, data sharing agreements, etc.) as they pertain to data privacy and security is highly desired.
  • Must be organized, attentive to details, and possess an exceptional diplomatic and professional communication skills. Must have the ability to successfully build relationships with key stakeholders and to effectively communicate requirements for data and analytics systems as well as translate technical data requirements to non-technical stakeholders.
  • Must thrive in a fast-paced environment with shifting priorities, multiple moving targets, and strict timelines.

Management Responsibilities:

  • Supervise the day-to-day activities of assigned data management & analytics team program staff. Provide direction, address questions, and provide skills/knowledge transfer. Oversee workload and productivity.
  • Oversee clinical data management and analytical team staff in the execution of data operations, quality assurance cycles, and technical deliverables across the study portfolio while ensuring professional growth and alignment with program timelines.
  • Provide regular summaries and updates to Program Supervisor.
  • Plan and facilitate individual and team meetings.
  • Lead performance review processes for assigned data team staff.
  • In collaboration with Geneva People Operations and Program Supervisor, conduct counseling and corrective action, as appropriate.

Job Responsibilities:

  • Ensure data capture, management, sharing, and analysis compliance of assigned research.
  • Maintain oversight of data management and analysis needs across a large portfolio of clinical research studies, effectively delegating tasks and tracking project timelines.
  • Lead and mentor a team of data professionals. Act as a hands-on backstop to execute technical tasks (e.g., database builds, QC cycles, dashboard creation) during team absences or high-volume periods to ensure strict adherence to deadlines.
  • Contribute to the development, refinement, standardization, and dissemination of clinical data management workflows, SOPs, and cross-functional processes within the broader research program.
  • Serve as the primary representative and subject matter expert (SME) for the Data & Analytics Team in high-level meetings with a diverse mix of stakeholders, including program leadership, institutional leadership, partners, and industry sponsors.
  • Partner with study investigators and external collaborators to provide expert guidance on data collection strategies, data entry protocols, monitoring/QC plans, and data sharing requirements.
  • Participate in early-stage study development meetings to align data strategies with protocol requirements prior to execution.
  • Review and advise on the development of Case Report Forms (CRFs) for compliance, data integrity, and database compatibility, providing formal endorsement prior to IRB submission.
  • Oversee the drafting, application, and compliance management of Data Sharing Agreements (DSAs) and Data Use Agreements (DUAs).
  • Direct and participate in rigorous QC cycles to identify analytical anomalies and protect against the exposure of PII/PHI within research databases.
  • Support the translation of raw research data into knowledge products, including data analysis for manuscripts, abstracts, and statistical tables.
  • Oversee the design and maintenance of real-time study visualization dashboards to provide stakeholders with clear enrollment and study outcome insights.
  • Promote safety and confidentiality of research participants at all times.