Data Quality Analyst – Translational Research

This is a fully remote position, open to applicants in United States.

📋 Description

• Review scientific data submissions to ensure they are complete, accurate, and comply with established standards.

• Assess the consistency and scientific relevance of data, identifying potential issues for further examination.

• Evaluate the methodological aspects of pre-clinical and translational research submissions under the supervision of senior staff.

• Assist in transforming data workflows into clear, structured processes that can be adapted for automation and AI-assisted evaluation.

• Work collaboratively with scientific personnel, informatics teams, and data providers to address discrepancies and enhance data quality.

• Aid in monitoring data quality metrics and document patterns or recurring issues.

• Keep abreast of new research methodologies, data standards, and automation tools to support advancements in data quality practices.

• Participate in team documentation and process enhancement initiatives as part of ongoing improvement efforts.

⛳️ Requirements

• A Bachelor’s degree in a relevant scientific or data-focused field (e.g., biomedical sciences, bioinformatics, epidemiology, virology, immunology, or a related area).

• Knowledge of pre-clinical research methodologies and experimental design.

• Exceptional attention to detail with the ability to recognize inconsistencies or gaps in structured scientific data.

• Capability to adhere to established data quality workflows and assist in the documentation of processes.

• Strong written and verbal communication skills, enabling clear summarization of findings.

• A collaborative approach, willing to seek guidance and work efficiently within a multidisciplinary team.

• A Master’s degree in a relevant scientific or data-related field is preferred.

• Familiarity with controlled vocabularies, ontologies, and biomedical data standards is preferred.

• Experience with database systems, structured data models, or data submission workflows is preferred.

• Exposure to human-in-the-loop AI processes and automation within data review workflows is preferred.

• Background in quality control, process enhancement, or research data management is preferred.

🏝️ Benefits

• Digital Infuzion does not discriminate in employment based on 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 any other non-merit factor as per Federal laws.

• We offer reasonable accommodations to applicants with disabilities.

• If you require a reasonable accommodation for any aspect of the application and hiring process, please reach out to Talent Acquisition at careers@digitalinfuzion.com. The decision regarding reasonable accommodation will be evaluated on a case-by-case basis.