ADVANCED TECHNICIAN IN PROTEOMICS (Reus - Tarragona)

Eurecat - Technology Centre; Reus; Presencial; EUR 35.000 - 60.000; Jornada completa

Descripción de la vacante

A leading research organization in Spain is seeking a Specialist Proteomics researcher to advance methodologies in quantitative proteomics and multi-omics approaches. The role involves developing cutting-edge techniques in mass spectrometry and collaborating with various partners. Candidates should possess a relevant degree and extensive experience in proteomics workflows and instruments, with opportunities for significant career growth.

Servicios

Access to state-of-the-art LC-MS/MS technologies

Opportunities for career development and training

Collaborative interdisciplinary environment

Work on cutting-edge biomedical projects

Formación

• Extensive experience in mass spectrometry and chromatography (LC-MS / MS, HRMS).
• Strong background in proteomics workflows including bottom-up and top-down proteomics.
• Proficiency in software for MS data processing.

Responsabilidades

• Develop and optimize new nanoLC-MS/MS methods for proteomics analysis.
• Perform sample preparation, protein digestion, and data analysis for proteomics research.
• Implement quality control and validation protocols.

Conocimientos

Mass spectrometry

Proteomics

Chromatography

Analytical Chemistry

Problem-solving

Teamwork

Research motivation

Educación

PhD in Analytical Chemistry, Biochemistry, Biomedical Engineering, or related field

Master's degree in Analytical Chemistry, Biochemistry, Biomedical Engineering, or related field

Bachelor's degree in Analytical Chemistry, Biochemistry, Biomedical Engineering, or related field

Herramientas

MaxQuant

Proteome Discoverer

Skyline

Descripción del empleo

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 2,000 companies. Eurecat integrates advanced digital capabilities and experience in biotechnology, industry and sustainability and collaborates with industry in R+D+I 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 spin-offs. Eurecat has eleven centers in Catalonia and presence in Madrid, Malaga and Chile.

The Omic Sciences Department carries out its activities using state-of-the-art 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 seeking an experienced and highly skilled Specialist Proteomics researcher to join our cutting-edge Proteomics Platform. The successful candidate will work closely with researchers and industry partners to advance proteomics methodologies, particularly in ultra-sensitive quantitative proteomics, post-translational modifications (PTMs), and integrative multi-omics approaches.

RESPONSABILITIES

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

• Develop and optimize new nanoLC-MS / MS methods for proteomics analysis.
• Perform sample preparation, protein digestion, mass spectrometry acquisition, and data analysis for proteomics research.
• Maintain and troubleshoot high-end mass spectrometry instrumentation, ensuring high-quality results.
• Implement quality control (QC) and validation protocols for proteomics workflows.
• Develop strategies for protein identification, annotation, and quantification, using advanced data processing tools (e.g., Proteome Discoverer, MaxQuant,,…).
• Actively participate in scientific publications, documentation, and standardization of protocols.
• Support research projects and collaborate with national and international partners.
• Assist in lab organization, supply management, and maintenance of proteomics databases.

WHAT WE OFFER

• The opportunity to work on cutting-edge biomedical projects with high impact.
• A collaborative and interdisciplinary environment with national and international partners.
• Access to state-of-the-art LC-MS / MS technologies.
• Opportunities for career development and training in proteomics and analytical sciences.

If you are passionate about mass spectrometry-based proteomics and want to be part of a leading research team, we encourage you to apply!

Requirements

Qualifications :

• PhD, Master’s, or Bachelor’s degree in Analytical Chemistry, Biochemistry, Biomedical Engineering, or a related field.

Knowledge and Experience :

• Extensive experience in mass spectrometry and chromatography (LC-MS / MS, HRMS) applied to proteomics.
• Strong background in proteomics workflows, including bottom-up and top-down proteomics, DIA, and label-free quantification.
• Proficiency in software for MS data processing (e.g., MaxQuant, Proteome Discoverer, Skyline,…).
• Experience in mass spectrometry instrument maintenance and troubleshooting.
• High motivation for research and scientific documentation / publication.
• Excellent organizational skills, teamwork ability, and problem-solving skills.
• Fluency in English (B1 or higher) and proficiency in Spanish and Catalan.
• Experience in protein sample preparation from biofluids or tissues.
• Experience in advanced techniques such as glycoproteomics and PTMs analysis
• Familiarity with standard operating procedures (SOPs) and quality management systems.
• Knowledge of machine learning applications in proteomics, and statistical analysis (univariate / multivariate), and bioinformatics tools

Sector : Pharmaceutical and biopharmaceutical

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