Digital Infuzion

Data Quality Analyst – Translational Research

Digital Infuzion

full-time

Posted on:

Location Type: Remote

Location: United States

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About the role

  • 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

  • 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
  • Health insurance
  • Flexible working hours
  • Professional development opportunities
Applicant Tracking System Keywords

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

Hard Skills & Tools
data quality metricspre-clinical research methodsexperimental designdata workflowsautomationAI-assisted reviewquality controlprocess improvementresearch data managementstructured data models
Soft Skills
attention to detailwritten communicationverbal communicationcollaborationcross-disciplinary teamworkproblem-solvingprocess documentationcontinuous improvementcapacity to identify inconsistencieswillingness to seek guidance