Data Quality Analyst – Translational Research

Digital Infuzion

Data Quality Analyst evaluating scientific data submissions for accuracy and adherence to standards. Collaborating with teams to improve data quality processes in a growth-oriented healthcare environment.

Posted 6/26/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

Review scientific data submissions for completeness, accuracy, and adherence to defined standards.
Evaluate the consistency and scientific relevance of data and flag potential issues for review.
Assess methodological details of pre-clinical and translational research submissions under the guidance of senior staff.
Support the translation of data workflows into transparent, structured processes that can be adapted for automation and AI-assisted review.
Collaborate with scientific staff, informatics teams, and data providers to resolve discrepancies and improve data quality.
Assist in monitoring data quality metrics and document trends or recurring issues.
Maintain up-to-date knowledge of emerging research methods, data standards, and automation tools to support improvements in data quality practices.
Contribute to team documentation and process refinement efforts as part of continuous improvement initiatives.

Requirements

What you’ll need

Bachelor’s degree in a relevant scientific or data-related discipline (e.g., biomedical sciences, bioinformatics, epidemiology, virology, immunology, or related field).
Familiarity with pre-clinical research methods and experimental design.
Strong attention to detail with the capacity to identify inconsistencies or gaps in structured scientific data.
Ability to follow established data quality workflows and contribute to process documentation.
Strong written and verbal communication skills, with the ability to summarize findings clearly.
Collaborative mindset, with the willingness to seek guidance and work effectively in a cross-disciplinary team.
Master’s degree in a relevant scientific or data-related field (preferred).
Understanding of controlled vocabularies, ontologies, and biomedical data standards (preferred).
Familiarity with database systems, structured data models, or data submission pipelines (preferred).
Exposure to human-in-the-loop AI processes and automation in data review workflows (preferred).
Experience with quality control, process improvement, or research data management (preferred).

Benefits

Comp & perks

Digital Infuzion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor per Federal laws.
We can provide reasonable accommodation to applicants with disabilities.
If you need a reasonable accommodation for any part of the application and hiring process, please contact Talent Acquisition at careers@digitalinfuzion.com. The decision on granting reasonable accommodation will be made on a case-by-case basis.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data submission reviewpre-clinical research methodsexperimental designdata quality metricsprocess documentationquality controlprocess improvementresearch data managementautomation in data review workflowsbiomedical data standards

Soft Skills

attention to detailwritten communicationverbal communicationcollaborationcross-disciplinary teamworkcapacity to identify inconsistencieswillingness to seek guidancecontinuous improvement mindset