LC/MS Data Reviewer
- Vaughan, ON
- Hybrid
- Posted Sep 11, 2026
- 1 position
$30–$32 / hour
Opens an external site
- Employment type
- Contract
- Experience level
- Mid-level · 2+ years
- Minimum education
- Bachelor’s degree
- Apply by
- Oct 10, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Associate
- Application method
- Direct apply is available
Job summary
The role involves reviewing LC/MS datasets daily with a focus on peak integration, identification, and outlier detection to ensure data integrity. The candidate will collaborate with scientific teams to investigate anomalies and document analytical results according to quality standards.
Job details
We are Systematix and we are currently looking for a detail-oriented Data Reviewer – LC/MS to support analytical data review and quality assurance activities for one of our key clients. ABOUT THE PROJEC TOur client is a global leader in science and technology, delivering innovative analytical solutions that support research, diagnostics, pharmaceutical development, and laboratory operations around the world. As demand for high-quality analytical data continues to grow, they are seeking an experienced LC/MS professional to support the review, validation, and reporting of complex mass spectrometry datasets. The successful candidate will play a critical role in ensuring the quality, accuracy, and integrity of analytical results by reviewing LC/MS data, evaluating chromatographic performance, and collaborating with scientific teams to support timely project delivery. ABOUT THE RESPONSIBILITIES Review LC/MS datasets daily, with a strong focus on peak integration, peak identification, and outlier detection. Evaluate chromatographic data to ensure analytical accuracy, consistency, and compliance with established quality standards. Process and review analytical data using software. Investigate data anomalies and recommend appropriate corrective actions where required. Verify, document, and communicate analytical results in accordance with internal quality procedures. Collaborate with laboratory scientists and cross-functional teams to support timely completion of data review and reporting activities. Maintain accurate documentation and records related to data review activities. Contribute to the continuous improvement of data review processes, workflows, and best practices. Support quality assurance initiatives by ensuring the integrity and consistency of analytical results. ABOUT THE REQUIREMENTS Minimum of 2 years of hands-on experience in analytical chemistry with a strong emphasis on LC/MS workflows.Demonstrated experience reviewing LC/MS data, including peak integration, peak evaluation, and outlier analysis. Hands-on experience using mass spectrometry platforms and related software.Experience working in high-throughput laboratory environments processing and reviewing large analytical datasets. Strong understanding of chromatographic principles and mass spectrometry data interpretation. Knowledge of analytical quality standards and laboratory best practices.Exceptional attention to detail with a strong commitment to data quality and accuracy.Strong analytical and problem-solving skills. Excellent communication and collaboration skills.Ability to work independently while managing multiple priorities in a fast-paced laboratory environment. PREFERRED QUALIFICATIONS Experience supporting pharmaceutical, biotechnology, life sciences, or analytical instrumentation organizations.Experience working within regulated laboratory environments Experience supporting continuous improvement and quality assurance initiatives. Bachelor's degree in Chemistry, Analytical Chemistry, Biochemistry, Life Sciences, or a related scientific discipline. ABOUT THE ROLE This is a 6-month contract opportunity with a strong likelihood of extension. The role will be performed in a hybrid work environment based in the Greater Toronto Area. The expected pay range for this position is CAD $30–32 per hour, depending on experience, qualifications, and overall fit for the role. AI DISCLOSURE As part of our recruitment process, Systematix may use artificial intelligence (AI) tools to assist with resume screening, candidate matching, and recruitment administration. All hiring decisions are ultimately made by our recruitment and hiring teams. APPLY NOW If you are interested in finding out more, please contact us or submit your resume to jobs@systematix.com. ABOUT SYSTEMATIX Systematix is a Canadian-owned Global Consulting and Resourcing firm with nearly 50 years of experience delivering technology solutions to clients across North America and the United Kingdom. We provide the highest-caliber consulting solutions to a diverse client base across all levels of government and private industry. Systematix is committed to creating a diverse, inclusive environment and is proud to be an equal opportunity employer. At Systematix, we value diverse perspectives, experiences, and backgrounds.
What you’ll do
The role involves reviewing LC/MS datasets daily with a focus on peak integration, identification, and outlier detection to ensure data integrity. The candidate will collaborate with scientific teams to investigate anomalies and document analytical results according to quality standards.
Requirements
Requires a minimum of 2 years of experience in analytical chemistry with a strong emphasis on LC/MS workflows and mass spectrometry software. A bachelor's degree in Chemistry or a related scientific discipline is preferred.
Listed skills
- Problem solving · Preferred
- Quality assurance · Preferred
- Collaboration · Preferred
- Data Validation · Preferred
- Documentation · Preferred
- Communication · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- LC/MS Data Review
- Peak Integration
- Peak Identification
- Outlier Detection
- Chromatographic Performance Evaluation
- Mass Spectrometry
- Analytical Chemistry
- Quality Assurance
- Data Validation
- High-throughput Laboratory Operations
- Data Interpretation
- Problem-solving
- Communication
- Collaboration
- Documentation
Job areas
- Science & Research
- Healthcare
- Consulting
- Data & Analytics
- Engineering
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