Analyst [GC-MS Data Interpretation Chemist]

5 days ago


New Delhi, India TÜV SÜD Full time

Key Responsibilities:- Interpret GC-MS data (primarily EI) for identification of unknowns using spectral deconvolution and comparison to library databases for chemical characterization studies. - Evaluate spectral quality, match scores, and fragmentation patterns using a weight-of-evidence approach, including critical assessment of database matches. - Apply knowledge of retention indices and chromatographic behavior to confirm compound identity. - 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/B.Sc in Chemistry or a related field with 5+ years relevant experience, or MSc./PhD with 2+ years of relevant experience. - Proficient in interpreting GC-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 fragmentation patterns under EI/CI, volatility, retention index 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.


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