METABOLOMICS TECHNICIAN Reus - Tarragona

EURECAT

Eurecat is the second Research & Technology Organisation in Spain and one of the largest applied research and technology transfer organisation in Southern

Europe. It brings together the experience of more than 800 professionals who generate an annual turnover of 69 million euros and provides services to more than 2000 companies. Eurecat integrates advanced digital capabilities and experience in biotechnology industry and sustainability and collaborates with industry in RDI activities and projects offering advanced scientific and technological services and specialized knowledge to respond effectively to the technological needs of very different business sectors accelerating innovation reducing both risks and spendings on scientific and technological infrastructures. The technology center participates in more than 200 large national and international consortium projects of high strategic R&I has 230 patents and 10 spinoffs. Eurecat has eleven centers in Catalonia and presence in Madrid Malaga and Chile.

Job description

The Omic Sciences Department carries out its activities using stateoftheart infrastructures at the Centre for Omic Sciences (COS) a unique center equipped with the latest metabolomics proteomics transcriptomics and genomics technologies. It offers a comprehensive range of biomarker research services across health food and environmental sectors from project design support to the analysis and integration of data obtained from various omics technologies.

We are looking for a highly skilled Metabolomics Technician to join our omics sciences service team. This position requires strong expertise in analytical chemistry particularly mass spectrometry (MS) and liquid chromatography (LCMS) applied to metabolomics and lipidomics research. The successful candidate will be involved in developing cuttingedge methodologies and contributing to highimpact biomedical projects.

RESPONSABILITIES

As a valued member of our team your role encompasses several critical dimensions:

Develop and optimize novel LCMS and GCMS methods for metabolomics and lipidomics analysis.
Perform sample preparation mass spectrometry (MS) acquisition and data analysis for metabolomics research.
Maintain and troubleshoot highend mass spectrometry instrumentation and ensure highquality results.
Implement quality control (QC) and validation protocols in metabolomics workflows.
Develop strategies for metabolite identification annotation and quantification using advanced data processing tools (e.g. MSDIAL XCMS mzMine).
Actively participate in scientific publications documentation and protocol standardization.
Provide support for research projects and collaborate with national and international partners.
Assist in ordering supplies maintaining chemical databases and laboratory organization.

WHAT WE OFFER

The opportunity to work on cuttingedge biomedical projects with high impact.
A collaborative and interdisciplinary environment with national and international partners.
Access to stateoftheart LCMS/MS and GCMS/MS technologies.
Opportunities for career development and training in metabolomics lipidomics and analytical sciences.

Requirements

Qualifications:

PhD Masters or Bachelors degree in Analytical Chemistry Biochemistry Biomedical Engineering or a related field.

Knowledge and Experience:

Extensive experience in mass spectrometry and chromatography (LCMS GCMS and/or HRMS).
Strong background in metabolomics lipidomics and/or glycomics methodologies.
Knowledge of software tools for MS data processing (e.g. MassHunter MSDIAL mzMine .
Experience in data preprocessing
Experience in handling and maintaining mass spectrometry instrumentation.
High motivation for research and scientific documentation/publication.
Excellent organizational skills teamwork abilities and problemsolving mindset.
English (B1 or higher) and fluency in Spanish and Catalan.

Additional Valued Skills:

Experience in preparing biofluid samples for analysis.
Familiarity with standard operating procedures (SOPs) and quality management systems.
Knowledge of machine learning applications in metabolomics statistical analysis (univariate/multivariate) and bioinformatics tools.