The Role
Evaluate pre-clinical and translational research data submissions for completeness, accuracy, and methodological soundness. Flag issues, support workflow translation for automation and AI-assisted review, monitor data quality metrics, collaborate with scientific and informatics teams to resolve discrepancies, and contribute to documentation and continuous improvement.
Summary Generated by Built In
We believe that by equipping researchers with rapid insights and providers with tailored, on-demand data, we can help people lead better, healthier lives. At Digital Infuzion, we harness innovative healthcare solutions and cutting-edge bioinformatics to make meaningful impacts in patient care.
Our team thrives in a creative, open, and growth-oriented environment, guided by our core values:
If you're passionate about leveraging technology to improve healthcare and want to work in an environment that values innovation and collaboration, we may have just the opportunity for you.
Position Summary
The Data Quality Analyst will play a key role in evaluating scientific data submissions across the translational research continuum, ensuring accuracy, completeness, and adherence to established standards. This role requires attention to detail, familiarity with pre-clinical research concepts, and an interest in applying best practices to evolving areas of biomedical research, including influenza and infectious disease.
Working under the guidance of the Data Quality Manager and Scientific Program Manager, the Data Quality Analyst will review submissions for scientific and methodological soundness, support the development of efficient data workflows, and contribute to continuous improvements in data quality processes and models. This position provides an excellent opportunity to build expertise at the intersection of data quality, scientific research, and informatics.
Key Responsibilities
Required Qualifications
Preferred Qualifications
*This is a remote-eligible position
Our team thrives in a creative, open, and growth-oriented environment, guided by our core values:
- Outcomes First: Focusing on what matters most and making timely, informed decisions.
- Innovative: Embracing creativity and continuous improvement to drive novel solutions.
- Radical Candor: Communicating openly and honestly, balancing direct feedback with genuine care.
- Never Satisfied: Pursuing excellence and continuous growth beyond the status quo.
- Resilient: Adapting and persevering through challenges, turning obstacles into opportunities.
If you're passionate about leveraging technology to improve healthcare and want to work in an environment that values innovation and collaboration, we may have just the opportunity for you.
Position Summary
The Data Quality Analyst will play a key role in evaluating scientific data submissions across the translational research continuum, ensuring accuracy, completeness, and adherence to established standards. This role requires attention to detail, familiarity with pre-clinical research concepts, and an interest in applying best practices to evolving areas of biomedical research, including influenza and infectious disease.
Working under the guidance of the Data Quality Manager and Scientific Program Manager, the Data Quality Analyst will review submissions for scientific and methodological soundness, support the development of efficient data workflows, and contribute to continuous improvements in data quality processes and models. This position provides an excellent opportunity to build expertise at the intersection of data quality, scientific research, and informatics.
Key Responsibilities
- 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.
Required Qualifications
- 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.
Preferred Qualifications
- Master’s degree in a relevant scientific or data-related field.
- Understanding of controlled vocabularies, ontologies, and biomedical data standards.
- Familiarity with database systems, structured data models, or data submission pipelines.
- Exposure to human-in-the-loop AI processes and automation in data review workflows.
- Experience with quality control, process improvement, or research data management.
*This is a remote-eligible position
Skills Required
- Bachelor's degree in a relevant scientific or data-related discipline (biomedical sciences, bioinformatics, epidemiology, virology, immunology, or related)
- Familiarity with pre-clinical research methods and experimental design
- Strong attention to detail and ability 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 ability to summarize findings clearly
- Collaborative mindset with willingness to seek guidance and work in a cross-disciplinary team
- Master's degree in a relevant scientific or data-related field
- Understanding of controlled vocabularies, ontologies, and biomedical data standards
- Familiarity with database systems, structured data models, or data submission pipelines
- Exposure to human-in-the-loop AI processes and automation in data review workflows
- Experience with quality control, process improvement, or research data management
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The Company
What We Do
Digital Infuzion is a software and health care IT company. At Digital Infuzion, we strive to revolutionize the health care industry by utilizing biomedical informatics in such a way that health organizations, medical professionals, and researchers can make more accurate and more inspired decisions. By creating software that provides life-saving insights, we do our small part in not only improving patients’ lives and their futures, but all lives affected by disease.
