369 Data Interpretation jobs in India

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.

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/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 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.

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.

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/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 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.

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.

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.

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/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 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.

Financial Analyst, GCC-Assurant

Financial Analyst supports operational and financial effectiveness by leveraging activity-based costing methodologies to analyze and improve business performance. This role is responsible for extracting and analyzing financial and operational data from various systems, with a focus on resource tracking and reporting.

This position will be in Bangalore, Chennai, Hyderabad at our India location.

What will be my duties and responsibilities in this job?

What are the requirements needed for this position? 

What other the Preferred Experience, Skills, and Knowledge?

Financial Analyst, GCC-Assurant

Financial Analyst supports operational and financial effectiveness by leveraging activity-based costing methodologies to analyze and improve business performance. This role is responsible for extracting and analyzing financial and operational data from various systems, with a focus on resource tracking and reporting.

This position will be in Bangalore, Chennai, Hyderabad at our India location.

What will be my duties and responsibilities in this job?

What are the requirements needed for this position? 

What other the Preferred Experience, Skills, and Knowledge?