Overview

Are you passionate about improving Veterans’ health and health care through impactful work in a collaborative setting? Join the Seattle Epidemiologic Research and Information Center (ERIC), a research center within the VA Puget Sound Health Care System (HCS), dedicated to enhancing Veteran health outcomes through high-quality epidemiologic research. The Seattle ERIC is part of the Department of Veterans Affairs (VA) Office of Research and Development (ORD) Cooperative Studies Program (CSP), an award-winning and internationally recognized program with a national research network.

 

The Seattle ERIC is hiring a full-time Research Data Analyst (GS-11) to work with an experienced and growing group of researchers committed to high-quality epidemiology research.

 

Research Data Analysts will support large, national epidemiology research studies as well as smaller-scale, investigator-initiated projects. This position will work with a team of data analysts, biostatisticians, and scientific personnel on studies assessing environmental and occupational exposures, pharmacotherapy, specific medical conditions, and genetics/genomics. This position would primarily focus on projects examining health outcomes after military service. Some of the other current research projects at the ERIC examine cardiovascular disease, cancer, back pain, and amputations. This position is based at the VA Puget Sound HCS in Seattle, WA and is not eligible for remote work.

 

Key Duties:

Collaborate with investigators and staff to identify key data elements from national and local VA, Department of Defense, and a variety of other data sources
Consult with investigators about available VA data resources
Create data specifications, design complex data extract systems, and write supporting documentation
Combine health record data, administrative data, and study collected data from multiple systems to create analytic files for epidemiologists and biostatisticians in support of scientific projects
Design, load, and ensure data quality of relational databases
Manage, administer, and ensure data quality, security, and maintenance of data files and database systems from current and past studies
Produce reports, and maintain applications to meet the needs of study staff and support ongoing national projects
Respond quickly and accurately to urgent data requests from investigators
Provide optimal customer service to stakeholders (investigators, project managers, coworkers, and other staff) through understanding, clear communication, problem-solving and collaboration
Additional responsibilities may include curating large genomic datasets, creating and curating research repository databases and frontend entry systems, mentoring staff, training study staff on study data systems, validating study data from field sites and troubleshooting any issues, and learning new technologies and techniques needed to support CSP’s future scientific and data needs.

 

Required Qualifications:

·         Education Requirements:

o   BA/BS in a scientific- or health-related field and 4-5 years of research work involving Human Subjects OR

o   Master’s or higher degree in a scientific- or health-related field with 1+ years of healthcare or research experience

o   Note: Any education outside the United States needs to be evaluated through a foreign education evaluation agency service.

·         Knowledge of relational databases, including primary/foreign keys, normalization, etc.

·         Experience with a programming language such as SQL, R, Python, SAS, Stata, or a related language

·         Excellent data management, programming, organization, and communication skills

·         Flexibility, adaptability, and the ability to work both independently and in a team setting

 

Desired Qualifications:

·         1+ years of experience with Human Subjects research as data manager, data administrator or data analyst

·         Familiarity with data security practices, HIPAA, and human subjects research protections

·         Experience with large relational databases & data structures

·         Experience with research data collection tools (REDCap, Qualtrics, DF Discover, etc.)

·         Experience with administrative healthcare data and healthcare coding systems

·         Knowledge of epidemiology & common epidemiologic methods

·         Familiarity with VA data systems

·         Experience with SAS Grid, Power BI, SQL Server Management Studio, SQL Server Integration Services, Visual Basic Studio, VBA, MS Access, Cloud computing/AWS/Azure, Databricks, Illumina Informatics Products

 

Learn more about the ERIC, CSP and CSP #505 at:

§  Seattle ERIC website: https://www.seattle.eric.research.va.gov/

§  VA CSP website: https://www.vacsp.research.va.gov/

§  CSP #505: Millennium Cohort Study website: https://www.vacsp.research.va.gov/CSPEC/Studies/INVESTD-R/Millennium-Cohort-CSP-505.asp

 

 

Application Information:

 

Candidates must be U.S. citizens. Education and experience will be evaluated by Human Resources to determine if the selected candidate meets the criteria for the targeted GS-11 range. The General Schedule (GS) salary table for the Seattle area can be found on the Office of Personnel Management website at opm.gov.

 

To apply, please send a cover letter and resume to SeattleCSPEC@va.gov. Cover letters should address how your unique skills and experience align with the position qualifications. Applications without a cover letter will not be considered.  Positions are open until filled and applications will be reviewed starting October 19th, 2026. It is understood that your circumstances may change during the interview process. Please share any information or updates relevant to your situation such as your employment status and current location throughout the application process.

 

We recognize that varied perspectives strengthen scientific discovery, contribute to innovative research, and improve healthcare outcomes. Our Center is committed to fostering a professional and collaborative environment that supports scientific excellence. We encourage all qualified individuals with an interest in our mission to apply.

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Below are key requirements for formatting your resume for submission to the Seattle ERIC.  Refer to this USAJobs article for federal requirements, and see related articles on the USAJobs website for additional formatting guidance.

§  Resume may not exceed two pages. Submitted resumes longer than two pages will be ineligible for further consideration.

§  List contact information, all degrees obtained (e.g., MPH or MS, BA or BS, etc.), relevant licenses and/or certifications, and relevant and recent work experience in an easy-to-read format.

§  For each position held, include the following information:

o   Employer’s name, position title, start and end dates (month/year), the number of hours worked each week, and applicable work experience. Federal positions should include series and grade.

o   List internships where academic credit was received with paid work. Any other internships must be listed under a volunteer section.

 

Upload your Resume/CV or any other relevant file. Max. file size: 25 MB.


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About Seattle Epidemiologic Research and Information Center (ERIC)

The Department of Veterans Affairs (VA) Cooperative Studies Program (CSP) Network of
Dedicated Enrollment Sites (NODES) is seeking a Research Study Coordinator to join our
mission-driven collaborative team at the Puget Sound VA in Seattle, WA supporting cuttingedge,
multi-site clinical trials.
This is your opportunity to work at the intersection of science, service, and collaboration,
contributing directly to innovative research that shapes national healthcare solutions and
improves health outcomes for Veterans. As a Research Study Coordinator, you will oversee all
aspects of clinical trial operations, including participant recruitment and eligibility
determination, protocol adherence, biospecimen collection and processing, and study outcome
evaluation. You’ll work closely with the Seattle NODES Associate Director of Operations (ADO),
NODES Directors and Local Site Investigator, supporting high-quality clinical research.
If you are passionate about improving healthcare for Veterans through meaningful research
and collaboration, we invite you to join our dedicated team.