José Navarro
Director, Predictive AI And Data
Barcelona, Catalonia, Spain
Summary
🤩
Rockstar🎓
Top SchoolJosé Navarro is a Director of Predictive AI and Data with 14 years of experience building production-grade software, data platforms, and machine learning solutions for computational biology and oncology. He has led architecture and delivery of FAIR, microservice-based pipelines and automated processing systems for omics and spatial omics at AstraZeneca and in biotech startups, combining Nextflow, cloud orchestration, and schema-driven validation. A PhD-trained computational biologist and former lead at SciLifeLab, he has published tools and a 3D molecular atlas while transitioning research-grade analytics into scalable commercial platforms. He is hands-on across software, data engineering, and ML—having authored performant C++ bioinformatics software and productionized novel algorithms for single-cell and spatial proteomics. Colleagues describe him as an engineer-leader who pairs deep domain expertise with pragmatic Agile delivery, and who often builds the infrastructure teams later rely on rather than delegating it. Based in Barcelona, he blends academic rigor with startup speed to turn complex omics science into reliable, auditable data products.
15 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at KTH Royal Institute of TechnologyBachelor's degree Computer Science, Bachelor's degree Computer Science at Universidad de HuelvaGrade Electrical Electronics and Communications Engineering, Grade Electrical Electronics and Communications Engineering at Politecnic School La Rabida
English, Spanish, Swedish
Github Skills (60)
reproducible-research10
visualization10
viewer10
preprocessing10
next-generation-sequencing10
bar-code10
spatial-transcriptomics10
machine-learning10
conda10
data-visualisation10
spatial-analysis10
nextflow10
semi-supervised-learning10
pipeline10
hla10
Programming languages (6)
Github contributions (5)
jfnavarro/sarek
Oct 2020 - Dec 2021
Analysis pipeline to detect germline or somatic variants from WGS / targeted sequencing
Contributions:8 PRs, 54 pushes, 1 branch in 1 year 1 month
analysis-pipelinepipelinecondawgssequencing
jfnavarro/st_pipeline
Oct 2013 - May 2021
ST Pipeline contains the tools and scripts needed to process and analyze the raw files generated with the Spatial Transcriptomics method in FASTQ format.
Contributions:5 releases, 1 review, 706 commits in 7 years 8 months
fastq-formatspatial-transcriptomicspipelinevisiumscrna-seq
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