Job Information
- Organisation/Company: CNAG
- Department: Spatial Genomics
- Research Field: Biological sciences » Biology
- Researcher Profile: Other Profession
- Positions: Master Positions
- Application Deadline: 21 Sep 2026 - 23:59 (Europe/Madrid)
- Country: Spain
- Type of Contract: Temporary
- Job Status: Full-time
- Hours Per Week: 35
- Offer Starting Date: 1 Oct 2026
- Is the job funded through the EU Research Framework Programme?: Not funded by a EU programme
Offer Description
CNAG – The Institute
The Centro Nacional de Análisis Genómico (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. CNAG is one of the largest Genome Sequencing Centers in Europe, equipped with state-of-the-art single-cell and spatial genomics technologies 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 molecular and cellular processes are organised within tissues, with the aim of accelerating biomedical discoveries and advancing precision medicine.
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. The team has established and applies a range of state-of-the-art spatial omics technologies for the analyses of tissues, including Bruker Spatial CosMx, 10X Xenium/Visium, BGI Stereo-seq and dissociated single-cell samples (STAMP). We also develop and apply computational workflows for the analysis and integration of spatially resolved single-cell data with other molecular, imaging and biological modalities.
Our international and multidisciplinary team combines expertise in single-cell, computational and tissue biology. We work at the interface between technology development and biomedical research and collaborate closely with academic, clinical and industry partners on the generation of human cell atlases, immuno-oncology and immune-mediated disease research programs.
The Role
The candidate will be integrated in the Spatial Genomics Team, a highly collaborative, international, multidisciplinary and diverse environment composed of experts in single-cell and spatial data generation, analysis, visualisation, interpretation and biomedical research.
The position will provide an excellent opportunity to gain hands-on experience in cutting-edge spatial multiomics data analysis in an industry translational project. The work will involve the quality assessment, primary analysis and integration of complex datasets combining spatially resolved molecular information (RNA, protein) with complementary clinical and histopathological data.
The main responsibilities of this role are:
- Quality assessment of spatial, single-cell multimodal datasets.
- Support the integration of such multimodal datasets.
- Apply and evaluate computational methods for dimensionality reduction, clustering and cell-type characterisation.
- Contribute to the analysis of spatial tissue organisation.
- Support the development, optimisation and implementation of reproducible computational workflows and analysis pipelines.
- Work closely with computational and experimental scientists within the Spatial Genomics Team and with industry and clinical collaborators involved in the project.
- Participate in scientific discussions, data interpretation and communication of project results.
- Maintain clear documentation and contribute to high-quality, reproducible and well-organised data analysis.
Where to apply
E-mail: people@cnag.eu
Requirements
- Research Field: Biological sciences » Biology
- Education Level: Master Degree or equivalent
Skills/Qualifications
The ideal candidate should have:
- A Master's degree in Bioinformatics, Computational Biology or Data Science.
- Previous experience or strong knowledge in the analysis of single-cell and spatial omics datasets.
- Previous experience or training in the integration and analysis of multimodal data.
- Programming skills in Python and/or R and familiarity with computational data analysis workflows.
- Experience in data integration, dimensionality reduction, clustering, cell-type annotation and other computational approaches for the analysis of single-cell data.
- An interest in spatial biology and the analysis of tissue organisation, cellular states and cell–cell interactions.
- Familiarity with computational methods for the integration of molecular, spatial, imaging and/or phenotypic datasets would be highly valued.
- Strong analytical and problem-solving skills.
- Ability to work independently while collaborating effectively within a multidisciplinary and diverse team.
- Strong commitment to high-quality and reproducible research.
- Good organisational and time-management skills.
- Confident communication skills in English.
- Languages: ENGLISH
- Level: Excellent
- Research Field: Biological sciences » Biological engineering
- Years of Research Experience: 1 - 4
Additional Information
Benefits
- We offer a full-time research training position, with the possibility of conversion to a predoctoral contract subject to the candidate fulfilling the applicable eligibility criteria.
- Estimated annual gross salary: Salary commensurate with qualifications and experience, in accordance with our institutional pay scales.
- Target start date: As soon as possible.
- 35-hour working week, Monday to Friday.
- Flexible working hours, with arrival between 7:30 am and 10:00 am and flexible lunch breaks ranging from 30 minutes to 1.5 hours.
- 30 working days of annual leave.
- Flexible compensation scheme, including tax-efficient benefits for meals, public transport, health insurance, childcare and training.
- A highly stimulating international research environment with access to state-of-the-art infrastructure and technologies.
- A diverse, inclusive and equal-opportunity working environment, welcoming applicants regardless of age, disability, gender, nationality, race, religion or sexual orientation.
- A strong commitment to work-life balance and family-friendly working conditions.
Selection process
The pre-selection process will be based on the qualifications, professional experience, and expertise demonstrated in the candidates’ CVs.
Shortlisted candidates will be invited to an interview.
Website for additional job details: https://www.cnag.eu/jobs
Work Location(s)
- Number of offers available: 1
- Company/Institute: CNAG
- Country: Spain
- State/Province: Barcelona
- City: Barcelona
- Postal Code: 08028
- Street: Baldiri Reixac, 4 Clúster II, Tower I, 2nd floor
Contact
- State/Province: Barcelona
- City: Barcelona
- Website: https://www.cnag.eu
- Street: Baldiri Reixac, 4 Clúster II, Tower I, 2nd floor
- Postal Code: 08028
- E-Mail: people@cnag.eu
- Mobile Phone: +34 606717331
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