LCMS Data Interpretation Analyst

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

Key Responsibilities:

Analyze and interpret LC-MS data (primarily QTOF) for qualitative and semi-quantitative chemical characterization studies.
Evaluate mass spectral data using a weight-of-evidence approach including critical assessment of database matches fragmentation patterns isotopic distributions and chromatographic behavior.
Collaborate with technical analysts chemists and project managers to communicate findings resolve discrepancies and meet client expectations.
Ensure data integrity and compliance with regulatory and accreditation standards (e.g. ISO 10993 ISO 17025 GLP).
Document findings in established systems supporting traceability and reporting.
Contribute to method development and optimization by providing feedback on spectral data trends and anomalies.
Support improvement of SOPs templates and data analysis workflows.
Identify and troubleshoot potential prep or instrument-related issues affecting data integrity.
Participate in continuous improvement initiatives and inter-laboratory collaborations.
Other duties as assigned by management.

Additional Knowledge/ Qualifications:

BS/ in Chemistry or a related field with 5 years relevant experience or MSc./PhD with 2 years of relevant experience.
Proficient in interpreting LC-MS/MS and chromatographic data.
Experience working in a regulated environment (ISO 17025 ISO 10993 GLP/GMP).
Familiarity with Microsoft Excel for data documentation and review.

Preferred Candidate:

Background in organic chemistry including functional group recognition and mass fragmentation behavior.
Experience with extractables & leachables particularly in a medical device or pharmaceutical context.
Understanding of instrumental analysis workflows and solution preparation.
Awareness of how sample prep or instrument anomalies affect data outcomes.
Familiarity with relevant databases and software for compound identification.

Required Skills:

Organic ChemistryFunctional group recognitionmass fragmentation behavior

Key Responsibilities: Analyze and interpret LC-MS data (primarily QTOF) for qualitative and semi-quantitative chemical characterization studies. Evaluate mass spectral data using a weight-of-evidence approach including critical assessment of database matches fragmentation patterns isotopic distribu...