QC Analytical Data Reviewer @ Lensa
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Job Details
QC Analytical Data Reviewer
Lensa is a career site that helps job seekers find great jobs in the US. This role is being promoted on behalf of Thermo Fisher Scientific through Lensa, and directs you to apply on the employer's site.
Role Overview
The Data Reviewer will support laboratory teams by ensuring the integrity and quality of laboratory and chromatographic data and reports. This role focuses on reviewing data for compliance with analytical methods, client criteria, GLP, and GMP protocols.
Key Responsibilities
- Review chromatographic data, notebooks, and sample results for accuracy.
- Ensure compliance with SOPs, validated methods, GLP and GMP standards.
- Prepare QC statements noting any deficiencies in the data.
- Communicate with laboratory staff to address quality issues.
- Support process improvement initiatives.
Education and Experience
BSc in Science or related field required, with 2+ years of QA/QC analytical experience. Must possess thorough knowledge of chromatography, SOPs, GLP, and GMP, and excellent verbal and written communication skills.
Work Environment & Requirements
- Remote work with support for immigration/visa needs.
- Must be able to work under pressure and handle multiple projects.
- Exposure to standard office equipment and possibly hazardous elements.
About the Company
Thermo Fisher Scientific enables customers to make the world healthier, cleaner, and safer. Their PPD® Laboratory Services team is known for its accuracy, commitment to quality, and groundbreaking innovations in clinical research.
Key skills/competency
- Data Review
- Chromatography
- SOP
- GLP
- GMP
- Quality Assurance
- Laboratory Practices
- Analytical Methods
- Process Improvement
- Documentation
How to Get Hired at Lensa
🎯 Tips for Getting Hired
- Customize your resume: Tailor skills to QC data review needs.
- Highlight experience: Emphasize GLP, GMP, chromatography expertise.
- Research Thermo Fisher Scientific: Understand their mission and work culture.
- Prepare examples: Showcase detailed data review and quality initiatives.