Data Quality Analyst (Translational Research)
Company: Pinnacle Method Consulting
Location: Location not specified (Remote)
Type: Full-time
Level: mid
Remote: Yes
Posted: 2026-02-20
About this role
Pinnacle Method Consulting's mission is to help job seekers reach their career peak by accessing top-tier opportunities. We are not a staffing firm or agency. Pinnacle Method does not hire for these roles—we systematically source and verify them from premier employers.
Employer Industry: Healthcare Solutions and Bioinformatics
Why Consider This Job Opportunity
- Opportunity for career advancement and growth within the organization
- Work remotely with flexible arrangements
- Supportive and collaborative work environment
- Engage in innovative projects that impact patient care
- Chance to contribute to continuous improvement initiatives in data quality
What To Expect (Job 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 adaptable for automation and AI-assisted review
- Collaborate with scientific staff, informatics teams, and data providers to resolve discrepancies and improve data quality
What Is 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
How To Stand Out (Preferred Qualifications)
- Master's degree in a relevant scientific or data-related field
-...