GCMS Data Interpretation Analyst

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

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/ 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.

Required Skills:

Organic Chemistryfragmentation patterns under EI/CI volatility retention index behavior.

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 incl...

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/ 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.

Required Skills:

Organic Chemistryfragmentation patterns under EI/CI volatility retention index behavior.