Senior Quality Analyst (Translational Research)
Remote
Full Time
Mid Level
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 Senior Quality Analyst will serve as a subject matter expert in evaluating scientific data submissions across the translational research continuum, ensuring the accuracy, completeness, and scientific validity of submissions. This role requires both technical data quality expertise and a deep understanding of pre-clinical research concepts, with the ability to adapt best practices to evolving areas such as influenza and infectious disease research.
By ensuring data integrity, this position will directly support translational research efforts and accelerate the translation from discovery to application. The ideal candidate will combine strong scientific literacy with a process-oriented mindset, capable of translating workflows into efficient, automatable processes, leveraging human-in-the-loop AI solutions, and driving continuous improvement in data quality practices and models.
The Senior Quality Analyst will work closely with the Principal Investigator and Scientific Program Manager to align data quality practices with scientific goals, while also providing oversight, mentorship, and professional guidance to the team’s Data Quality Analysts.
Key Responsibilities
Required Qualifications
Preferred Qualifications
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 Senior Quality Analyst will serve as a subject matter expert in evaluating scientific data submissions across the translational research continuum, ensuring the accuracy, completeness, and scientific validity of submissions. This role requires both technical data quality expertise and a deep understanding of pre-clinical research concepts, with the ability to adapt best practices to evolving areas such as influenza and infectious disease research.
By ensuring data integrity, this position will directly support translational research efforts and accelerate the translation from discovery to application. The ideal candidate will combine strong scientific literacy with a process-oriented mindset, capable of translating workflows into efficient, automatable processes, leveraging human-in-the-loop AI solutions, and driving continuous improvement in data quality practices and models.
The Senior Quality Analyst will work closely with the Principal Investigator and Scientific Program Manager to align data quality practices with scientific goals, while also providing oversight, mentorship, and professional guidance to the team’s Data Quality Analysts.
Key Responsibilities
- Review scientific data submissions for accuracy, completeness, and adherence to defined standards.
- Evaluate internal consistency and scientific relevance, ensuring logical coherence and methodological soundness.
- Assess methodological appropriateness of data, with emphasis on pre-clinical and translational research.
- Translate complex workflows into efficient, automatable processes and optimize human-in-the-loop AI for accuracy and oversight.
- Collaborate with domain experts, informatics teams, and data providers to resolve discrepancies and improve data quality.
- Monitor data quality metrics, identify trends, and recommend enhancements to submission guidelines, quality control processes, and the data model.
- Maintain up-to-date knowledge of emerging research methods, data standards, automation technologies, and domain science to advance data quality practices.
- Provide mentorship and direction to Data Quality Analysts, ensuring consistent application of quality standards and fostering professional growth.
Required Qualifications
- Advanced degree (Master’s or PhD) in a relevant scientific discipline (e.g., biomedical sciences, bioinformatics, epidemiology, virology, immunology, or related field).
- Strong understanding of pre-clinical research methods and experimental design.
- Proven experience in assessing and managing data quality in structured scientific environments, including evaluation of data consistency for logical coherence and scientific validity.
- Experience translating scientific and data workflows into process documentation for automation or system optimization.
- Excellent communication skills, with the ability to translate technical findings into actionable recommendations for diverse stakeholders.
- Detail-oriented, with the ability to work independently and collaboratively within cross-disciplinary teams.
- Demonstrated ability to improve processes and systems through observation, feedback, and iteration.
Preferred Qualifications
- Experience in infectious disease, immunology, or influenza-related research.
- Knowledge of controlled vocabularies, ontologies, and data standards in biomedical research.
- Understanding of data exchange standards, such as CDISC, HL7, or FAIR principles.
- Proficiency with database systems, structured data models, and submission pipelines.
- Familiarity with human-in-the-loop AI processes and automation opportunities in data review workflows.
- Experience coordinating cross-functional teams or projects in research or data management settings.
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 Human Resources at HR@digitalinfuzion.com. The decision on granting reasonable accommodation will be made on a case-by-case basis.
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