Non-Chemist/Chemist with background in HPLC or GC (Data Validator)

We are SGS – the world’s leading testing, inspection and certification company. We are recognized as the global benchmark for quality and integrity. Our 93,000 employees operate a network of 2,600 offices and laboratories, working together to enable a better, safer and more interconnected world.

PRIMARY RESPONSIBILITIES

As a member of the team in our Global Business Solutions (GBS) center, conducts data processing in the analysis of Food matrix samples in chemical lab. In particular, validates, calculates and reports lab results to strict quality and ethical standards.

Responsibilities

Performs various data processing functions, including laboratory data calculations and integrations, quality control checks, LIMS entries, and other data management functions as required.; Ensures lab deadlines are met and the GBS Team Coordinator (or section Lab Manager in their absence) is notified immediately if the turnaround time specified cannot be met.; Ensures all testing methodology and quality control procedures are performed according to ISO17025 and assigned SGS lab standards where applicable.; Keeps Affiliate Manager, GBS Supervisor and any other key Affiliate personnel informed immediately of all operational issues, including:; Personnel matters affecting performance; Failure to meet turnaround requirements; Failure to meet ISO17025, country certifications and assigned SGS lab standards where applicabl; Inconsistencies in quality control procedures so they may be rectified immediately; Additional training requirements identified

Requirements

Minimum Bachelor of Science degree, Chemistry is strongly preferred.; A minimum of one-year working experience with chromatography instruments is required (LC or GC), SEM analysis, Mass spectrophotometry knowledge is preferred.; Lab testing experience with Food matrix is preferred, with Environmental samples is an advantage.; ”Chromalion” and/or ”MassHunter” and/or ”MultiQuant” and/or ”Analyst” software platforms knowledge is a plus.; Demonstrated commitment to data quality and operational excellence; Strong written and verbal communication skills; Strong MS Excel skills; Detail-oriented with the ability to identify minor discrepancies.; Strong sense of responsibility for the quality and integrity of the work assigned.; Proficient in effectively prioritizing tasks to meet deadlines.; Ability to work both collaboratively and independently, manage time effectively.; Strong team player with the ability to collaborate efficiently in diverse work environments.; Hybrid work arrangement may differ depending on affiliate country, should be amenable to be onsite for 2 to 6 months.