Digital Infuzion

• 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.