Analyst GC-MS Data Interpretation Chemist

2 days ago

Bengaluru, Karnataka, 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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