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About

I’m a research bioinformatician with a PhD in Environmental Agrobiology and an MSc in Computational Biology and Bioinformatics, currently working in cancer genomics.

My work spans bulk and single-cell multi-omics (RNA-seq, ATAC-seq,methylation) with a strong focus on CAR-T studies and immune-repertoire/VDJ analysis.

I build reproducible,well-documented pipelines in Python/R and enjoy translating complex analyses into clear biological insights.

Recently, I’ve also been strengthening my data engineering skills (ETL/ELT, GCS→BigQuery, data modelling) to deliver robust, end-to-end analytical systems.

Skills

Technical skills

• Bioinformatics: Bulk & single-cell omics (RNA-seq, scRNA-seq, ATAC-seq, ChIP-seq, methylation); cancer genomics; immune repertoire/VDJ analysis (MiXCR); QC, normalization, differential analysis, clustering/annotation; reproducible analysis and reporting.
• Programming: Python (data analysis, pipelines, visualization, Streamlit); R (statistics, scRNA-seq ecosystem); SQL (querying, basic modeling); bash/Linux; Git.
• Data Engineering: ETL/ELT pipeline design; ingestion & normalization of semi-structured CSVs; workflow orchestration with Airflow; GCS → BigQuery data loads; data modelling (star schema / dimensional modelling); dbt-style testing (schema + data quality checks); Docker/Compose; CI/CD basics (GitHub Actions); logging & validation.
• Other: Machine learning for genomics (foundations and prototyping); documentation best practices; familiarity with clinical data standards (CDISC: SDTM/ADaM) and SAS (basic).

Soft Skills

• Teamwork
• Leadership (technical mentoring and task coordination)
• Scientific communication (translating complex analyses to non-technical stakeholders)
• Critical thinking & rigor (experimental design mindset, interpretation, troubleshooting)

Experience

Work Experience (recent years)

2025/26 — Research Bioinformatician (CIMA)

• Multiple Myeloma mouse models + therapy studies.
• End-to-end single-cell analysis (10x scRNA-seq; multimodal integration with VDJ/immune-receptor data).
• Comparative analyses across therapeutic arms in transgenic MM mice, linking cell states and clonality readouts to biological conclusions.

2024/25 — Research Bioinformatician & Data Engineering (CIMA + Le Wagon project)

• Ran and hardened containerized NGS pipelines (RNA-seq/ATAC-seq/scRNA-seq) across HPC/GCP, with rigorous QC and reproducible reporting.
• Built an end-to-end Airbnb data pipeline: quarterly ingestion → GCS → cleansing → BigQuery (staging/bronze/silver/gold) with dbt-style tests and a Streamlit dashboard.

Earlier experience (selected)

• 2019–Present — Research Bioinformatician, CIMA Universidad de Navarra: NGS analysis (bulk & single-cell), pipeline development, 10x troubleshooting, mentoring.
• 2016–2019 — Postdoctoral Researcher, IDIBELL & Josep Carreras Institute: methylation arrays (450k/EPIC), RNA-seq, iCLIP; statistical reproducibility; publications.
• 2010–2015 — PhD Researcher, Public University of Navarra: environmental agrobiology research; long-term studies; manuscripts and training.

Education

Education

• MSc, Bioinformatics and Computational Biology — Instituto de Salud Carlos III, Escuela Nacional de Sanidad (Spain), 2017.
• PhD, Environmental Agrobiology (Outstanding Cum Laude) — Public University of Navarra (UPNA), Spain, 2015.

Earlier education

• MRes, Environment and Development — Lancaster University (UK), 2010.
• MSc, Environmental Agrobiology — University of the Basque Country (Spain), 2009.
• BEng, Agronomy (Engineering) — Metropolitan Autonomous University (Mexico), 2008.

Other education

• Data Engineering Bootcamp — Le Wagon, 2025.
• Professional Programme, Artificial Intelligence & Data Science — KSchool–UNIR, 2024.

Selected projects

• LeWagon
• DTC