Data Quality Analyst – Translational Research

🕒 June 26

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🌎 Translator / Interpreter

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 28%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Digital Infuzion

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1999

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Digital Infuzion is an information technology firm focused on infusing emerging technologies into business processes. By specializing in enterprise application services, digital health solutions, data science, and cybersecurity, Digital Infuzion aims to empower organizations by transforming data into actionable insights. They prioritize long-term success over short-term profits and emphasize a culture of creativity and multidisciplinary teamwork to solve complex challenges for their clients across various sectors.

📋 Description

• 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

• 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 [email protected]. The decision on granting reasonable accommodation will be made on a case-by-case basis.