CNAG – The Institute
The CNAG Consortium carries out large-scale projects in DNA/RNA analysis for the improvement of quality of life in collaboration with the Spanish, European and International Research Community. The Centro Nacional de Análisis Genómico (CNAG) is one of the largest Genome Sequencing Centers in Europe, with several Illumina and Oxford Nanopore Technologies sequencers, state-of-the-art single-cell and spatial genomics equipment, and an extensive informatics infrastructure. The operation is certified ISO 9001 and accredited ISO 17025, delivering standardized, high-quality data for research and clinics. The CNAG has over 125 members, structured in different units such Bioinformatics, Sequencing, Research and Corporate Management, and participates in major International Genome Initiatives and EU-funded projects.
CNAG – The Spatial Genomics Team
The Spatial Genomics Team at CNAG is at the forefront of understanding how gene expression is spatially regulated at the tissue level, aiming to accelerate discoveries and advance treatments in the biomedical field.
The mission is to establish Spatial Transcriptomics and other Spatial Tissue Profiling techniques as standard tools for next-generation pathology, harnessing the prognostic value of tissue resections and biopsies. We successfully established protocols to quantify gene expression in tissues (Bruker Spatial CosMx, 10X Xenium/Visium, BGI Stereo-seq) and dissociated single-cell samples (STAMP) and have developed state-of-the-art analysis pipelines particularly designed for spatial single-cell-resolved data and for its integration with classical histopatology, scRNA-seq and other modalities. Our international team joins technical, computational, histopathology and biological knowledge to promote creative thinking while establishing best practices in single-cell and spatial research. The group combines collaborative research, assay and tool development activities and follows research lines on the generation of human cell atlases, immuno-oncology and immune-mediated disease research.
We are looking for a specialized technician with extensive experience in spatial transcriptomics techniques, including tissue preparation and sectioning, cell culture, organoids, staining (IHC and IF), microscopy, and digital image analysis. We require the ability to work in a multidisciplinary context on collaborative projects, as well as to engage in technology and protocol establishment and development. We encourage and prioritize applications from under-represented minority groups.
Whom would we like to hire?
• Bachelor degree in biology, biomedicine or similar
• Experience/knowledge in spatial genomics techniques and/or other tissue profiling approaches
• Experience/knowledge in cell culture, in vitro perturbation experiments and organoids
• Experience/knowledge in histopathology, including tissue preparation, sectioning, annotation and morphology assessment
• Good problem-solving skills, time management and strategic thinking
• Strong commitment to high-quality work
• Collaborative spirit to work in a diverse team
The Role
The candidate will be integrated in the Spatial Genomics Team, a highly collaborative, international and multidisciplinary environment made up of experts in single-cell and spatial data production and analysis. They will be involved in the development, implementation and execution of spatial transcriptomics applications, including the experimental and analytical part. The candidate will also be involved in collaborative efforts with our biotech, research and clinical partners and diverse production efforts of healthy and diseased human/mouse tissue maps. The position will be related to immuno-oncology and immune-mediated disease-related projects, which aim is to understand the spatial composition of target organs and the spatial molecular/cellular basis of treatment action by applying multi-omics single-cell and spatial characterization of healthy and tumor/tissue microenvironment cells.
The primary responsibilities of this role are:
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Establish and optimize protocols for spatial genomic applications, including detection of DNA, transcripts and proteins;
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Design controlled spatial genomic experiments in collaboration with internal and external partners and coordinate their implementation to enable project success;
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Analyze transcriptomics and proteomics results for quality assessment and evaluation of experimental success. Work with dedicated computational colleagues to explore and guide in-depth data analyses;
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Thrive on meeting challenges, insist on high-quality deliverables, demonstrate effective problem-solving skills, and possess the ability to build productive external and internal relationships;
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Confident communication skills in English.
The Offer
• Contract duration: substitution of a maternity leave with possibility to extension.
• Estimated annual gross salary: Salary is commensurate with qualifications and consistent with our pay scales.
• Target start date: immediately
We provide a highly stimulating environment with state-of-the-art infrastructures and technologies, and unique professional career development opportunities.
We offer and promote a diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, nationality, ethnicity, religion or sexual orientation.
We are committed to reconcile work and family life for our employees and are offering the opportunity to benefit from annual leave and flexible working hours.
Application Procedure
All applications must be addressed to People Management - people@cnag.eu
Email subject: 2026-8 CNAG: Specialized technician in Spatial Genomics
Deadline: Please submit your application by 31/Aug/2026
All applications must include:
• A complete CV including contact details.
• Contact details of two referees.
Selection Procedure
The pre-selection process will be based on qualifications and expertise reflected on the candidates CVs.
Shorlisted candidates will be called for an interview mid September.
See all our job openings in the “Jobs” section of the CNAG website: https://www.cnag.eu/jobs











