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Redcap Data Manager Jobs in Seattle, WA (NOW HIRING)

... managers (e.g., Nextflow), databases (e.g. SQL), version control (Git), and HPC/cloud environments (e.g., AWS, Slurm). * Experience with REDCap or similar electronic data capture (EDC) platforms.

(Associate) Scientist, Health Data

Seattle, WA · On-site

$67K - $67K/yr

... managers (e.g., Nextflow), databases (e.g. SQL), version control (Git), and HPC/cloud environments (e.g., AWS, Slurm). * Experience with REDCap or similar electronic data capture (EDC) platforms.

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 Manager information

See Seattle, WA salary details

$35.3K

$110.6K

$195.7K

How much do redcap data manager jobs pay per year?

As of Jul 30, 2026, the average yearly pay for redcap data manager in Seattle, WA is $110,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,100.00 and $142,800.00 per year, depending on experience, location, and employer.

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 Seattle, WA? For Redcap Data Manager jobs in Seattle, WA, the most frequently searched job titles are:

(Associate) Scientist, Health Data

Variant Bio

Seattle, WA

$67K - $67K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

ABOUT THE ROLE

The Health Data team at Variant Bio turns data generated in the field, across our international partner cohorts, into harmonized, analysis-ready resources that power genetic target discovery. We are looking for someone who enjoys the challenge of complex, real-world data and is motivated to build robust, reproducible solutions for maximizing its quality and comparability across studies, modalities, collaborators, and collection sites. In this role you will own the curation, quality control, and harmonization of multi-omic, survey, biochemistry, and clinical data as it arrives from field sites around the world. You will help develop the standards and pipelines that keep that data trustworthy at scale, spanning the full path from bench work to downstream analysis. Success in this role depends on good scientific judgment about how data is produced: an instinct for where recruitment, sampling, batching, or measurement can introduce bias in genomic studies. We value curiosity and resourcefulness alongside technical skill. There is room to grow from running and adapting existing processes toward owning pipelines and contributing to downstream analyses.

KEY RESPONSIBILITIES
  • Curate, clean, and harmonize multi-omic, survey, biochemistry, and clinical data from international field sites and partner cohorts, reconciling differences across studies, platforms, and sites. 
  • Build reproducible QC (validation checks and anomaly detection) that flags problematic data; drive solutions to trace root causes and suggests long term solutions.
  • Contribute to study design, sample selection, and randomization schemes for multi-omic data generation.  
  • Catch data issues early and work with the internal team overseeing data collection to resolve them at the source. 
  • Run and adapt the ETL/ELT pipelines that ingest field data with room to own them over time. 
  • Prepare analysis-ready datasets, analyses, and quality assessments that feed downstream target discovery, with clear documentation throughout. 
  • Support quality data generation through occasional wet lab work including aliquoting, protocol testing, and sample QC.
QUALIFICATIONSMust Have...
  • MS or PhD in epidemiology, biostatistics, genetics, bioinformatics, data science, public health, computational biology, or a related field - or bachelors with a minimum of 2 years relevant professional experience. 
  • Demonstrated experience with large, imperfect real-world datasets (multi-omic, survey, biochemistry, and/or clinical) and a track record of catching quality issues before they reach an analysis and tracing them back to their cause.
  • Basic proficiency in R, Python, or a similar programming/scripting language. 
  • Genomic study-design literacy: Able to recognize when recruitment, sampling, batching, or measurement decisions could introduce bias or confounding, and what the resulting data can and cannot support.
  • Prior wet lab experience in molecular biology or related context. 
  • A learning mindset and creative problem-solving; comfortable working at the edge of your expertise and drawing on a cross-functional team to solve unfamiliar problems.
  • Strong attention to detail and record-keeping, and the ability to manage parallel workflows across multiple studies. 
  • Clear communication and comfort collaborating across a cross-functional, international team. 
  • Ability to be onsite in the Seattle office a minimum of three days a week. 
Nice to Have...
  • Experience developing and owning data pipelines; familiarity with workflow managers (e.g., Nextflow), databases (e.g. SQL), version control (Git), and HPC/cloud environments (e.g., AWS, Slurm).
  • 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 metadata schemas and data dictionaries.
  • Familiarity with clinical data including biochemistry, anthropometrics, and health history. 
  • Experience with multi-omic data (proteomic, transcriptomic, metabolomic) generation, and an understanding of how multi-omic and phenotypic evidence is used to identify and prioritize therapeutic targets. 
  • Prior experience with nucleic acid extraction and QC, qPCR, and/or ELISA assays. 
  • Experience with human subjects research, IRB/ethics workflows, or international multi-site collaborations.
  • Familiarity with biomedical coding systems and ontologies (ICD-9/10, Phecodes, HPO, etc.) for defining and harmonizing phenotypes across cohorts. 
COMPENSATION & PERKS

At Variant Bio, we're building something meaningful and we believe supporting our people is essential to that mission. We offer a thoughtful and competitive set of benefits designed to support your health, growth, and life outside of work. 

  • Competitive Compensation & Equity- Market-competitive salary with the opportunity to participate in company equity and share in our long-term success.
  • Comprehensive Health Benefits- Variant Bio covers 100% of employee premiums for medical, dental, and vision insurance. Dependents may be added to the plan at an incremental cost.
  • Flexible Time Off- Flexible paid time off and company holidays, with an emphasis on trust and personal responsibility.
  • 401(k) Plan- Employer-sponsored retirement plan with company match.
  • Professional Growth- Support for learning and development.
  • Collaborative, Mission-Driven Culture- Work alongside a highly engaged, interdisciplinary team passionate about transforming human health through genetics.
  • Early-Stage Impact- A chance to make a meaningful contribution at a growing biotech where your work has visible impact.

Anticipated annual base salary for this position is $100,000 - $150,000 plus up to 10% bonus and an options package, for total compensation of up $110,000 - $165,000, plus equity options. The annual salary range above is based on the responsibilities and qualifications listed above. Individual salary will depend on job-related knowledge, skills, and experience. 

Don't meet every single requirement but are excited to join the Variant Bio team? If your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may still be the right candidate for this or other roles. 

Variant Bio is an equal opportunity employer that guarantees a work environment that respects and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.